onsite
Team Lead - AI Engineering - 1global
Software Engineer
Lead a high‑performing AI engineering team, architecting end‑to‑end ML solutions on AWS, from data ingestion to model deployment, while driving best practices in code quality, CI/CD, and scalable infrastructure.
About the role
Key Responsibilities
- Lead and mentor a multidisciplinary AI engineering team, setting technical direction and ensuring delivery of high‑quality ML products.
- Design, develop, and maintain scalable ML pipelines using Python, TensorFlow/PyTorch, and Docker/Kubernetes on AWS.
- Collaborate with data scientists, product managers, and DevOps to translate business requirements into robust AI solutions.
- Implement CI/CD workflows, automated testing, and monitoring for model performance and drift.
- Champion best practices in code quality, documentation, and knowledge sharing across the organization.
Requirements
- 5+ years of experience in AI/ML engineering with a proven track record of leading technical teams.
- Strong proficiency in Python, TensorFlow/PyTorch, and cloud services (AWS).
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
- Experience with MLOps tools and model monitoring is a plus.
Skills
pythonmachine learningdeep learningtensorflowawsdocker