onsite
AI/ML Technical Lead
Engineering Manager
Lead the design, development, and deployment of AI/ML solutions, building scalable pipelines and LLM‑based applications while collaborating across engineering, product, data, and business teams.
About the role
Key Responsibilities
- Architect, develop, train, and deploy machine learning and AI models, with a focus on Large Language Models.
- Design and implement end‑to‑end ML pipelines for data ingestion, preprocessing, model training, validation, and production deployment.
- Collaborate with engineering, product, data, and business stakeholders to translate complex data problems into scalable, measurable solutions.
- Ensure models are production‑ready by containerizing them with Docker and orchestrating deployments on cloud platforms such as AWS.
- Mentor junior engineers, establish best practices, and drive continuous improvement of the AI/ML development lifecycle.
Requirements
- 5+ years of hands‑on experience building and deploying ML models in production, including LLMs.
- Proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Strong background in building scalable data pipelines and using cloud services (AWS, S3, SageMaker, etc.).
- Experience with containerization (Docker) and orchestration tools (Kubernetes or similar).
- Excellent problem‑solving skills, curiosity, and ability to work cross‑functionally in fast‑paced environments.
Skills
pythontensorflowpytorchawsdocker