Tech Lead ML/AI Engineering
Core
Leading end-to-end design and implementation of ML/AI solutions, from problem definition to production deployment and monitoring.
Role type
Senior IC Tech Lead ML/AI Engineering
Builds
End-to-end ML/AI solutions, including Computer Vision and Generative AI pipelines (RAG, embeddings, agentic systems)
Domain
Cloud-based Data & AI, Generative AI, Computer Vision
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic systems, API development, Distributed systems, Cloud deployment, MLOps/LLMOps, Model lifecycle management
Preferred skills
Computer Vision in production, MLflow, Airflow, Kubeflow, Multi-agent systems, Orchestration frameworks, Reusable IP creation, Pre-sales support
Technologies
Python, MLflow, Airflow, Kubeflow, Cloud platforms
Responsibilities
Define ML/AI architectures and pipelines; Contribute hands-on to model development, feature engineering, training, and inference services; Ensure engineering best practices (versioning, experiment tracking, CI/CD, observability); Collaborate with Data Engineers, MLOps, and business stakeholders; Support pre-sales contexts and technical proposals; Promote component reusability and provide technical mentorship
Seniority
Senior, hands-on IC with leadership responsibilities (via careerplan.io/jobs/819f021a-8d16-451a-b3ea-4cd9a9a771e3-tech-lead-mlai-engineering-at-glinttglobal)
