remote
Senior AI Engineer - H2O.ai
AI Engineer
Lead the design and delivery of enterprise‑grade Generative and Predictive AI solutions, building secure, compliant, and scalable models on private data using Python, deep learning frameworks, and cloud infrastructure.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines that combine generative and predictive models for enterprise customers.
- Develop, train, and fine‑tune large language and vision models using Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Design secure, sovereign AI deployments on cloud platforms (AWS) and orchestrate them with Kubernetes for scalability and compliance.
- Collaborate with data engineers and product teams to integrate AI capabilities into customer‑facing applications while ensuring data privacy.
- Mentor junior engineers, conduct code reviews, and drive best practices for model versioning, monitoring, and continuous improvement.
Requirements
- 5+ years of professional experience in machine learning, deep learning, or AI research, with a strong focus on generative AI.
- Proficiency in Python and hands‑on experience with TensorFlow, PyTorch, or similar frameworks.
- Solid understanding of cloud services (AWS) and container orchestration (Kubernetes) for production‑grade AI deployments.
- Demonstrated ability to design secure, privacy‑preserving AI solutions that meet enterprise compliance standards.
- Excellent problem‑solving skills and the ability to communicate complex technical concepts to cross‑functional teams.
Skills
pythonmachine learningdeep learninggenerative aiawskubernetes