remote
AI Engineer - H2O.ai
AI Engineer
Lead the design and deployment of secure, sovereign AI solutions, blending generative and predictive models on private data using Python, AWS, and advanced ML techniques to empower enterprise customers with compliant, high‑performance GenAI applications.
About the role
Key Responsibilities
- Architect and implement end‑to‑end GenAI pipelines that integrate generative and predictive models on private datasets.
- Collaborate with data scientists and product teams to translate business requirements into scalable, secure AI solutions.
- Leverage AWS services (SageMaker, Lambda, S3) to build, test, and deploy models while ensuring compliance with data privacy regulations.
- Optimize model performance and resource utilization through advanced ML techniques and continuous monitoring.
- Document best practices, design patterns, and deployment guidelines for internal and external stakeholders.
Requirements
- 5+ years of experience building production‑grade ML/GenAI systems in Python.
- Proficiency with AWS AI/ML services and container orchestration (ECS/EKS).
- Deep understanding of data privacy, security, and compliance frameworks (GDPR, CCPA).
- Experience with generative models (e.g., GPT, diffusion) and their integration into enterprise workflows.
- Strong communication skills and a track record of mentoring junior engineers.
Skills
pythonmachine learninggenerative aiaws