Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

YOUR QUALIFICATIONS AND SKILLS

• Master’s degree with 5+ years or PhD degree with 2+ years of relevant experience in computer science, computer engineering or equivalent experience with experience in research
• ETL, big data experience and tooling (i.e., PySpark, Databricks), Python testing frameworks, data validation and data quality frameworks, data handing (SQL & NoSQL), feature engineering, chunking, document ingestion, graph data structures (i.e., Neo4j), CI/CD pipelines, basic K8s (manifests, debugging, docker, Argo Workflows), MLflow deployment and usage, GenAI frameworks (LangChain), GPU model development / deployment
• Proven experience applying machine learning techniques to solve business problems
• Experience in client delivery with direct client contact
• Proven experience in translating technical methods to non-technical stakeholders
• Strong programming experience in python (Python, Java, C++, SQL) and experience with cloud development platforms such as AWS, Azure, Google (and appropriate Bash/Shell scripting)
• Experience with version control (GitHub)
• Ability to write production code and object-oriented programming is a plus

• Bringing distinctive data/machine learning engineering & product development competency to complex client problems through part-time staffing on clients
• Supporting the manager of data engineering/machine learning engineering on the development of data/machine learning engineering roadmap of assets across cell-level initiatives
• Productionize AI prototypes/create deployment ready solutions
• Translating engineering concepts and design/architecture trade-offs and decisions for senior stakeholders
• Writing optimized code to advance our AI Toolbox and codify methodologies for future deployment
• Working in a multi-disciplinary team
• Coaching/mentoring junior colleague