onsite
Platform Engineer III - HCLTech
Devops Engineer
Lead end‑to‑end GenAI solution development as a Platform Engineer, driving AI, ML, and cloud‑native practices to deliver high‑impact products for diverse customers.
About the role
Key Responsibilities
- Architect and implement end‑to‑end generative AI solutions, integrating advanced models into production pipelines.
- Lead technical and engineering initiatives, mentoring cross‑functional teams through ideation to MVP.
- Design and maintain scalable, cloud‑native infrastructure on AWS, ensuring reliability, security, and cost efficiency.
- Collaborate with data scientists and product managers to translate business requirements into robust ML workflows.
- Apply DevOps best practices, automating CI/CD pipelines, monitoring, and incident response for AI services.
Requirements
- Proven experience with generative AI frameworks (e.g., GPT, Stable Diffusion) and model deployment.
- Strong background in Python, ML libraries, and cloud services (AWS).
- Hands‑on expertise in DevOps tooling, CI/CD, containerization, and infrastructure as code.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
- Experience leading technical projects and mentoring junior engineers.
Skills
generative aimachine learningpythonaws