onsite
AI Experimentation and Feature Store Lead - CoAdvantage
Software Engineer
Lead the design, development, and governance of a multi‑agent AI platform, building an analytics feature store and engineering knowledge graph using Python, AWS, and modern ML practices.
About the role
Key Responsibilities
- Architect and implement a governed AI platform that includes an engineering knowledge graph, analytics feature store, and customer knowledge store.
- Lead a cross‑functional team to develop, test, and iterate AI experiments and multi‑agent workflows.
- Define data ingestion, transformation, and feature engineering pipelines, ensuring scalability and reproducibility on AWS.
- Establish best practices for model lifecycle management, monitoring, and continuous integration/continuous deployment (CI/CD) of ML models.
- Collaborate with product, engineering, and compliance teams to align AI solutions with business goals and regulatory requirements.
Requirements
- 5+ years of experience in machine learning, data engineering, or AI platform development.
- Strong proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
- Hands‑on experience building and operating feature stores and knowledge graphs at scale.
- Deep knowledge of AWS services (SageMaker, Redshift, Lambda, S3) and MLOps tooling.
- Proven ability to lead technical teams and drive end‑to‑end AI product delivery.
Skills
pythonmachine learningaws