Meet the team:   

In the Apps & Frameworks group our core obligation is to develop and own the production-grade automated processes of the Torc data loop. Starting with data selection, following training, evaluation, release verification and deployment, in the end, our machine learning models make our trucks perceive and steer through the world! The internal verification team focuses on recompute verification of all component teams, helping to understand the performance of our Virtual Driver automatically. To be successful, we collaborate with different component, data science, ML Ops and recompute teams across the organization.   

What you’ll do:   

• Performance metric development for perception and behavior components in Python 

• Managing, extending and using SQL databases with component output data 

• Maintaining and extending a Python dashboard displaying component verification data 

• Leveraging available (meta-)data of the Torc datalake to enrich our dashboard with helpful information for our component teams 

What you’ll need to succeed:   

• Considered very skilled and proficient in discipline; conducts important work under minimal supervision and with latitude for independent judgment 

• BS+ 4+ years of experience or MS+ 3+ years of experience. 

• Proficient in Git and Linux 

• Advanced Python programming skills 

• Proficiency in SQL for database management and data analysis 

• Domain experience in automated vehicle technology related to requirements, testing and verification 
   

Bonus Points!   

• Experience in modern python repository and package management 

• Experience with data visualization and analysis related to robotics/automated vehicles 

Perks of Being a Full-time Torc’r  

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:      

• A competitive compensation package that includes a bonus component and stock options    

• 100% paid medical, dental, and vision premiums for full-time employees      

• 401K plan with a 6% employer match    

• Flexibility in schedule and generous paid vacation (available immediately after start date)   

• Company-wide holiday office closures    

• AD+D and Life Insurance 

About the Role:

The Sr. Consultant of AI Solutioning will be instrumental in delivering exceptional AI solutions to clients. Reporting to the Director of AI Solutioning, this role involves active participation in client delivery and support for presales activities. Leveraging deep expertise in AI solution design, development, and deployment, the Sr. Consultant will serve as a subject matter expert and thought leader in the AI solutioning domain. In collaboration with the Director of AI Solutioning and other capability leads, responsibilities include developing and refining methodologies and frameworks, contributing to business development and proposal activities, and ensuring high-quality delivery across multiple clients. The primary focus will be leading delivery teams and advancing the overall growth and development of AI solutioning capabilities.

What You’ll Do:

I.  AI Capabilities Development

• Support developing and refinement of methodologies for AI requirement gathering, solution design, and development
• Create reusable AI solutions capabilities for common industry challenges
• Develop AI solutions to address key client challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Contribute to the development of Trace3’s AI Solutioning product and service portfolio, aligning with market demands and company strategy

II.  Teamwork

• Coordinate approach with the Directo of AI Solutioning to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Collaborate with cross-functional teams to align AI solutioning with overall product and services strategy
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagement

III.  Talent Development

• Mentor and lead a team of AI architects, strategists and product managers, ensuring successful project delivery and continuous development
• Contribute to the continuous learning and development of internal talent

IV.  AI Capabilities Sales and Delivery

• Work closely with clients to understand their challenges, gather and analyze data, formulate hypotheses, and define actionable plans to solutions.
• Ensure the quality and consistency of AI solution delivery across multiple clients
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools
• Lead client engagements, from initial solution design through to solution deployment
• Lead resources directly and through cross functional teams; exhibit strong leadership to drive high performing teams
• Manage the scope, requirements, resources and budget for all assigned projects
• Continuously monitor and create transparency through the communication of project status, issues and risks to internal teams and our client

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.

Qualifications & Interests:

• Bachelor’s degree required, advanced degree/certifications preferred.
• 5+ years’ experience leading technical consulting engagements including focuses on data science, data transformation, AI/data architectures, advanced analytics, or similar platform implementation
• 2+ years’ experience in solution design and development, with a strong track record of successful client engagements
• Relevant AI/ML certifications preferred but not required (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data platforms, data science, AI, statistical analysis and/or related areas by reputable organizations
• Familiarity with various AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Extensive knowledge of data analysis, statistical modeling, consultative frameworks, project management methodologies, and technical implementation
• Up-to-date understanding of AI industry trends and emerging technologies
• Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment
• Ability to approach customer requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Strong influencing skills to get things done and inspire business transformation
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility

About the Role:

The Director of AI Solutioning will be an integral member of the AI Leadership Team, responsible for shaping and executing Trace3’s AI product strategy. This role will focus on defining and delivering innovative AI service offerings, while also providing strategic direction and technical expertise in AI solutions design and implementation. Key responsibilities include collaborating with clients’ AI leaders and executives to develop and execute AI strategies that address prioritized use cases. The Director will lead the definition and development of AI solutions, ensuring they align with both client needs and company objectives. This role demands a strong blend of consultative skills, technical proficiency, and business acumen to effectively navigate the rapidly evolving AI landscape and drive significant value for the Trace3 and our clients.

What You’ll Do:

I.  AI Capabilities Development

• Develop and maintain annual capabilities roadmap and resource plan
• Create frameworks for translating business problems into AI-solvable use cases
• Develop and refine methodologies for AI requirement gathering, solution design, and development
• Oversee the creation of reusable AI solutions capabilities for common industry challenges
• Develop solutions to address key AI challenges, including AI monitoring and observability, and security operations for machine learning models (ML LLM/Sec Ops)
• Develop and maintain AI Solutioning product and service portfolio, aligning with market demands and company strategy

II. Teamwork

• Collaborate with executives to ensure AI solutioning aligns with Trace3 business objectives and growth strategies
• Coordinate with other Product Leaders to align AI solutioning with overall product strategy
• Participate in cross-product strategic pursuit team to evaluate and pursue significant revenue generating opportunities
• Support sales/account teams by providing expertise in AI solution design and development during sales pursuits and client engagements

III.  Talent Development

• Support talent management efforts to attract, develop and retain highly competitive AI talent
• Mentor and lead a team of AI strategists, architects and product managers, ensuring successful project delivery and continuous development

IV.  AI Capabilities Sales and Delivery

• Partner with clients to align our Trace3 capabilities and offerings to their needs, develop and tailor proposals for clients.
• Drive sales and GTM activities around the AI Solutioning space working with our sales leaders and account teams.
• Act as project director and subject matter expert on strategic client projects and sales pursuits.
• Guide clients through technology/data selection, leveraging expertise in Azure OpenAI, Snowflake, Databricks, LLMs and related AI tools

V.  Thought Leadership

• Stay updated on latest AI trends, technologies, and best practices to inform strategy development and implementation.
• Drive thought leadership initiatives through white papers, presentations, and industry events

Qualifications & Interests:

• Master’s degree/Ph.D. focus on AI, Machine Learning, Statistics, Economics, or Business Administration, strongly preferred
• 10+ years’ experience including consulting leadership with focus areas including data/AI strategy, data science, advanced analytics, and data ecosystem transformations
• 5+ years’ experience in solution design and development, with a strong track record of successful client engagements
• 5+ years of product management experience in AI, Advanced Analytics, or digital transformation
• (Preferred) Relevant AI/ML certifications (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.)
• Certifications in data science, AI, statistical analysis and/or related areas by reputable organizations
• Extensive knowledge of data analysis, statistical modeling
• Deep understanding of AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture
• Up-to-date understanding of AI industry trends and emerging technologies
• Proven track record in bringing revenue-generating AI solutions to market
• Experience in a consulting or solutions-oriented environment
• Demonstrated track record of thought leadership content creation
• Strong financial and business acumen with understanding of a multi-faceted business operation
• Strong influencing skills to get things done and inspire business transformation
• Ability to approach customer and sales requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Excellent oral, written communication and presentation skills with an ability to present security related concepts to C-Level Executives and non-technical audience
• Conflict negotiation and problem-solving skills and agility
• Ability to travel when needed

Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

The role

Agile Six is looking for a Data Engineer for an anticipated role on our cross-functional agile teams. Our partners include: the Department of Veteran Affairs (VA), Centers for Medicare & Medicaid Services (CMS), Centers for Disease Control and Prevention (CDC) and others. 

The successful candidate will bring their experience in data formatting and integration engineering to help us expand a reporting platform. As part of the team, you will primarily be responsible for data cleaning and data management tasks, building data pipelines, and data modeling (designing the schema/structure of datasets and relationships between datasets). We are looking for someone who enjoys working on solutions to highly complex problems and someone who is patient enough to deal with the complexities of navigating the Civic Tech space. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

We embrace open source software and an open ethos regarding software development, and are looking for a candidate who does the same. Most importantly, we are looking for someone with a passion for working on important problems that have a lasting impact on millions of users and make a difference in our government!

Please note, this position is anticipated, pending contract award response.

Responsibilities

• Contribute as a member of a cross functional Agile team using your expertise in data engineering, critical thinking, and collaboration to solve problems related to the project
  • Experience with Java/Kotlin/Python, command line, and Git is required
  • Experience with transport protocols including: REST, SFTP, SOAP is required
  • Experience with HL7 2.5.1 and FHIR is strongly preferred
• Extract, transform, and load data. Pull together datasets, build data pipelines, and turn semi-structured and unstructured data into datasets that can be used for machine learning models.
• Evaluate and recommend
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

Basic qualifications

• 2+ years of hands-on data engineering experience in a production environment
• Experience with Java/Kotlin/Python, command line, and Git
• Demonstrated experience with extract, transform, load (ETL) and data cleaning, data manipulation, and data management
• Demonstrated experience building and orchestrating automated data pipelines in Java/Python
• Experience with data modeling: defining the schema/structure of datasets and the relationships between datasets
• Ability to create usable datasets from semi-structured and unstructured data
• Solution-oriented mindset and proactive approach to solving complex problems
• Ability to be autonomous, take initiative, and effectively communicate status and progress
• Experience successfully collaborating with cross-functional partners and other designers and researchers, seeking and providing feedback in an Agile environment
• Adaptive, empathetic, collaborative, and holds a positive mindset
• Has lived and worked in the United States for 3 out of the last 5 years
• Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

Additional desired qualifications

• Familiarity with the Electronic Laboratory Reporting workflows and data flow
• Knowledge of FHIR data / API standard, HL7 2.5.1
• Experience building or maintaining web service APIs
• Familiarity with various machine learning (ML) algorithms and their application to common ML problems (e.g. regression, classification, clustering)
• Statistical experience or degree
• Experience developing knowledge of complex domain and systems
• Experience working with government agencies
• Ability to work across multiple applications, components, languages, and frameworks
• Experience working in a cross-functional team, including research, design, engineering, and product
• You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary range for this position is $119,931-$126,081

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

Location - Pune OR Bengaluru

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Machine Learning, AI, and Data Governance.

What You’ll Do

• Work in partnership with product managers and technical partners to identify requirements and priorities, and map out solutions for challenging technology and workflow problems.
• Gain foundational knowledge of core Addepar systems, including the Addepar Data Lakehouse. Use these insights to inform a strategic approach for AIML Ops, and Data Governance infrastructure.
• Create platform-based solutions for the creation, tuning, and deployment of Machine Learning and AI solutions
• Reduce complexity through the adoption of strategic data architecture and workflows
• Unlock data value through the enablement of data governance outcomes

Who You Are

• 10+ years of experience in the software engineering field.
• 5+ years of relevant work experience and education that shows proficiency in platform management, particularly in enabling Machine Learning and AI outcomes.
• A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills.
• Practical knowledge of agile practices with an outlook that prioritizes experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes.
• Comfortable working in a cloud context, with automated infrastructure and service oriented architecture.
• Experience with Data Governance initiatives and a track-record of improving data outcomes
• Experience with SaaS / Cloud offerings will be a big plus.
• Experience with Python will be a big plus.

Our engineering stack has PySpark on Databricks at its core; so experience in these technologies is preferred.

Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Campaigns team and are looking for a new colleague to join as a Senior Software Engineer. The salary range starts at 3500€ per month, along with restricted stock units and other benefits. Working in one of our Central European offices or from home on a full-time basis, you‘ll become a core part of the Engineering Team.

What challenge awaits you?

As a Senior Software Engineer at our company, you'll come face-to-face with exciting, high-end technical challenges. You'll be a part of a team that delivers magical customer experiences through personalized omnichannel marketing campaigns. You’ll work on  implementing new microservices into our architecture, managing high-throughput systems, and enhancing the speed and reliability of our platform. You will utilize cutting-edge AI-powered solutions, such as GenAI and LLMs. 

You'll collaborate closely with other engineering teams and product managers to ensure seamless integration of our campaigns automation features with the rest of our platform, fostering a culture of collaboration and innovation. This role offers a unique opportunity to combine your technical expertise with a passion for customer experience enhancement and a desire to empower businesses with data-driven personalization.

Your job will be to:

1. Design & Deliver new features
2. Ensure quality and performance of developed solution
3. Support and Maintain owned components

a. Design & Deliver new features

• Translate business requirements for product features into technical specifications and design documents.
• Collaborate with other engineering teams to ensure a unified software architecture.
• Define and develop back-office API endpoints as well as high-performance serving endpoints.
• Develop and implement high-throughput, scalable and reliable systems to support new features.
• Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

• Perform API testing, including unit tests, system tests and performance tests.
• Implement monitoring systems and dashboards to track the performance of our systems in production, identify potential issues, and optimize for speed and cost efficiency.
• Contribute to developing and implementing DevOps best practices within the team.

c. Support and Maintain owned components

• Maintain end-to-end features, encompassing microservices, back-office APIs, and high-performance serving APIs.
• Provide ongoing support and maintenance for existing features, including troubleshooting issues, fixing bugs, and implementing enhancements.
• Support our client-facing colleagues in the investigation of possible issues (L3 support).
• Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the Campaigns team work with?

• Programming languages - Go, Python
• Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, VertexAI 
• Data Storage and Processing - MongoDB, Redis, Kafka 
• Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty 

The owned area focuses on Marketing Campaigns Automation, including scheduling, audience management, content personalization and delivery. We support various marketing channels, such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks. We use Jinja for personalization and utilize ML models for content generation. Therefore, having experience in the mentioned areas is an advantage.

Your success story will be:

• In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
• In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
• In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

1. Professional — Proven experience in Go or Python engineering, system design, and maintenance in the area of campaign automation.
2. Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

• Proven experience in at least one of the following languages: Go or Python, which are essential for building our data-driven features.
• Solid understanding of microservice-oriented architecture and experience in building systems with high throughput and low latency APIs. Familiarity with service orchestration and management (e.g. GKE).
• Experience with version control systems (Git) and CI/CD pipelines. We utilize Git for code management and CI/CD pipelines for efficient development and deployment.
• Familiarity with database management (preferably MongoDB and Redis) and event streaming (e.g. Apache Kafka).
• Experience with integrating omnichannel communication such as Mobile Messaging, Emails, SMS/MMS, Push Notifications and Webhooks would be a valued asset.
• Interest in Generative AI and its applications is a plus.

Personal qualities

• Demonstrates strong initiative and a proactive approach to problem-solving.
• Excellent communication and collaboration skills, with the ability to work effectively within a team.
• A genuine passion for learning new technologies and keeping up-to-date with the latest advancements.
• A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

Overview

This role challenges traditional approaches to digital shopping by improving backend systems that power a seamless user journey. You will lead efforts to enhance content discoverability and purchase processes, helping to perfect the interaction between user desires and our vast product offerings.

About The Role

The Senior Software Engineer will focus on enhancing the user experience by developing robust backend architectures that support advanced recommendation and personalization systems. In close collaboration with ML engineers, product teams, and data scientists, you will lead the innovation of our backend services, enabling sophisticated, data-driven features that adapt to our customers' shopping behaviors.

About the Team

The Core Experience teams are dedicated to creating engaging and straightforward shopping experiences. You will be part of a team that is at the heart of product innovation, focusing on everything from the user interfaces to the underlying systems that support our web and mobile platforms. Our team’s work is guided by a data-driven methodology that ensures decisions are aligned with consumer needs, helping us move swiftly and efficiently in our development processes.

Overview of the Core Experiences teams that are currently hiring:

Discover Team:

An engineer who will be enhancing our feed architecture, refining how content is recommended and delivered to optimize the shopping journey. The role will collaborate with ML engineers, product managers, and data scientists to drive the transformation of Instacart's recommendation systems, ensuring every interaction is personalized and impactful.

About the Job

Responsibilities:

• Design, build, and maintain high-quality backend applications.
• Lead the development of our backend system's roadmap, prioritizing scalability and reliability.
• Innovate and think creatively to develop new features that enhance our customer's shopping experiences.
• Own and lead major components of our product, ensuring they meet both internal standards and external expectations.
• Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes.
• Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

About You

Minimum Qualifications

• 5+ years of backend development experience, with a strong record of project delivery.
• Proficiency in backend languages, such as Ruby or Go.
• A solid foundation in unit testing and problem-solving.
• Exceptional communication skills and the ability to lead and collaborate with diverse teams.
• Holds a Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

Preferred Qualifications

• Experience with recommender systems and personalization algorithms.
• Familiarity with ML model development and iteration.
• Deep understanding of feed architecture principles.
• Skilled in the use of monitoring and observability tools like Datadog.
• Extensive experience with database management, particularly PostgreSQL.

About Us

At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing.  Our success is measured when we can empower all of healthcare to focus more on improving the health of people. 

To learn more: https://www.kalderos.com/company/about 

Kalderos is a fast growing, venture-backed, remote first company which provides data analytics and software to our customers. We have many customers and utilize a modern technology stack (Snowflake, DBT, Azure, React, Databricks, AI and ML models)

Our company’s success is driven by Kalderos’ greatest asset, our people. Our team thrives on the problems that we solve, is driven to innovate, and welcomes on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission.

That’s where you come in! We’re looking for a Director of Data Science to oversee the Data Analytics and Data Science functions of the company. 

What You’ll Do:

• Work closely across data analytics, data science and product to enable the team to deliver high impact functionality and hit dates committed to on the roadmap
• Use business acumen to help prioritize product features and technology roadmap items
• Create and maintain a technology roadmap
• Work closely with other engineering leadership to mentor and guide them on business, career planning, budget and technical architecture
• Create and maintain an engaging and fun engineering and data culture
• Coach and mentor analysts, data scientists and managers to empower them to be the best versions of themselves. You will need to find the right balance between creating the space for them to do their best work, and coaching and developing new skills.
• Recruit and onboard new analysts, data scientists and managers
• Improve our delivery processes to increase accuracy of estimation, reliability of delivery, and velocity of execution
• Oversee the company’s technology vendor relationships and provide recommendations on whether to buy or build components and capabilities
• Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon

What You’ll Bring:

• Bachelor’s degree in computer science or other engineering disciplines, or equivalent experience
• 5+ years experience as a Software Engineer or Data Scientist in a professional full-time role
• 8+ years experience leading a data analytics, data science or similar data team
• 4+ years experience working with data scientists on AI / ML modeling
• Experience with Cloud Native technology development and deployment
• Experience building and scaling teams including leading recruiting initiatives
• Understand and design for non-functional concerns such as performance, cost optimization, and maintainability
• Great analytical and problem-solving skills with an eye for requirements analysis, debugging, and risk assessment
• Knowledge of and experience implementing engineering principles and agile development procedures

Set Yourself Apart:

• Experience in the Healthcare or similarly regulated industry
• Azure experience
• Databricks experience
• ML models experience

Expected Salary Range: $175,000 - $215,000 base + bonus

This position can be remote in the United States or hybrid in Chicago, IL or Boston, MA. Expected hours will be Eastern or Central time.

____________________________________________________________________________________________

Highlighted Company Perks and Benefits

• Medical, Dental, and Vision benefits
• 401k with company match
• Flexible PTO with a 10 day minimum
• Opportunity for growth
• Mobile & Wifi Reimbursement
• Commuter Reimbursement
• Donation matching for charitable contributions
• Travel reimbursement for healthcare services not available near your home
• New employee home office setup reimbursement

What It’s Like Working Here

• We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems.
• We empower each other and believe in ensuring all voices are heard.
• We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. 
• We’re curious and go deep. Our slack channel is filled throughout the day with insightful articles, discussions around our industry, healthcare, and our book club is always bursting with questions.

To learn more:https://www.kalderos.com/company/culture

We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out!

Kalderos is proud to be an equal opportunity workplace.  We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.

Kalderos participates in E-Verify.

What we’re looking for…

ScienceLogic is seeking an MLOps Engineer who will play a critical role in operationalizing GenAI offerings. Ideal candidates will be passionate and have had proven expertise in designing and engineering MLOps pipelines or CI/CD implementations as well as curating data for machine learning and/or Large Language Models for benchmarking. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

What you’ll be doing…

• Deploying, monitoring, and optimizing machine learning models and overall, AI infrastructure – At scale designing and managing of model lifecycle deploying.
• Creation/curation of datasets – Building a robust repository of datasets that exercise myriads of test cases.
• Automation of regression testing – Ensuring that the AIML systems built are scalable and sustainable across our established and growing customer base.
• Establishing and monitoring benchmarks – Researching industry best practices and translating them to what ScienceLogic can maintain and evolve to give extremely superior quality of trustworthy machine learning solutions.
• You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.

Qualities you possess…

• BS/MS/PhD in Computer Science or similar technical field of study.
• 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
• Experience with following tech stack:
  - Frontend: React UI, Swagger APIs.
  - Backend: Python, ClickHouse, OpenTelemetry.
  - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
  - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

As the MLOPs engineer, you'll resonate with and embody our core values –

• Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
• Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
• Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
• Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

Benefits & Perks

• A remote-first culture - work from home or come into the office, it's totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

www.sciencelogic.com

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

#LI-Remote

What we’re looking for…

ScienceLogic is seeking an AI Database Performance Engineer who will help shape the system and solution design of ScienceLogic’s most advanced GenAI offerings. Ideal candidates will be passionate and have had proven expertise in database technologies especially columnar data modeling, query optimization and OLAP. You would be responsible to make sure the various system databases are well-structured to support downstream model training. You are ever curious and hungry to learn, with a bias toward action and delivering value to the customer quickly. We are building out a leading-edge, AI-first monitoring analytics platform for ScienceLogic customers and prospects. The capabilities of this platform will eclipse what other observability vendors are bringing. This is the product you'll be working on.

What you’ll be doing…

• You will be working key leaders of our Analytics group including CTO of Skylar AI to develop core offering and help build out the team.
• Working with highly scalable and performant databases like Clickhouse: Modeling and creating OLAP cubes for exploration. You will use your mastery in query optimization and database system design.
• Governance and guard-rail monitoring of production databases: You will participate in large scale data product deployment and help setup best practices around maintaining robust schema and entity modeling.
• You will use your understanding of ML Training Data and User Feedback to guide the data scientists to collect the right data for fine-tuning, relevance ranking optimization, and benchmarking.

Qualities you possess…

• BS/MS/PhD in Computer Science, similar technical field of study, or equivalent practical experience.
• 5+ experience with software engineering developing and deploying production-level code for highly scalable distributed systems.
• Proven expertise in database technologies, especially columnar data modeling, query optimization and OLAP.
• Experience with following tech stack is a plus:
  - Frontend: React UI, Swagger APIs.
  - Backend: Python, ClickHouse, OpenTelemetry.
  - Cloud: Mostly AWS, but on-prem is deployed via HELM, as a cloud-native app.
  - ML: HuggingFace Python libs, PostgresML, Pytorch, OpenAI.

As the lead AI database optimization engineer, you'll resonate with and embody our core values –

• Empathy: We empathize with our customers to help them solve core problems. Our empathy also extends to our team as we enable people to experiment, grow and do their best work.
• Ownership: Joining at an early stage of this product's design and implementation, you will be expected to own large parts of the product and work through high ambiguity without explicit direction. You will also be expected to bring forth feedback and ideas to help shape the product.
• Communication: Strong communication is required to work through ambiguity and showcase clarity of thought when interacting with customers, prospects, and the team.
• Ambition: We are here to solve hard problems and want to bring on board people who seek out challenges and want to excel. Have something to prove about yourself? Willing to put in the necessary effort to overcome a lack of particular education or experience? You’ll make your mark here.

Benefits & Perks

• A remote-first culture - work from home or come into the office, it's totally up to you.
• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

The typical base pay range for this role across the U.S. is USD $180,000 - $200,000 per year. In addition, this role is eligible for an annual bonus and stock option grants. 

About ScienceLogic

We empower intelligent and automated IT operations.

The ScienceLogic SL1 platform enables companies to digitally transform themselves by removing the difficulty of managing complex, distributed IT services. We use patented discovery techniques to find everything in your IT environment, so you get visibility across all technologies and vendors running anywhere in your data centers or clouds

www.sciencelogic.com

All ScienceLogic employees have the responsibility to protect information assets, adhere to access controls, report suspicious activity, and comply with security and privacy policies.

#LI-Remote

????London or Remote (UK)  | ???? £100,000 to £150,000 + Stock Options + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 10 million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Decision Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role among a small team of very experienced and self-sufficient Decision Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Model Validation, Products and Engineers, to drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices

You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You thrive in a fast-paced environment and comfortable with frequent context switching
• You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
• You want to build trust and influence a diverse range of leaders and stakeholders
• You like inspiring people around you, with innovative thinking and high standard execution

You must have:

• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders

Even better if you have:

• Previous experience of handling relationships with data suppliers such as credit bureaus
• Previous experience of managing data and model governance

The Interview Process:

Our interview process involves the following stages:

• Recruiter Call
• Take Home Task
• 4x (virtual) face-to-face stages
  • Technical interview
  • Case study
  • Value & collaboration
  • Leadership

Our average process for this level role takes around 5-6 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

One of our team has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

What’s in it for you:

???? £100,000 to £150,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

???? Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-NB2  #LI-Remote