Tech Lead ML/AI Engineering

Solid experience in ML/AI projects in a production environment

Strong mastery of Python and the Machine Learning and Deep Learning ecosystem

Hands-on experience with Generative AI, LLMs, RAG, and agent-based pipelines

Knowledge in API development, distributed systems, and cloud deployment

Experience with MLOps/LLMOps practices and model lifecycle management

Technical leadership capacity, architectural thinking, and effective communication with technical and non‑technical teams

Experience with Computer Vision solutions in production

Experience with tools such as MLflow, Airflow, Kubeflow, or similar

Experience with multi‑agent systems and orchestration frameworks

Involvement in the creation of reusable IP, technical accelerators, or pre‑sales functions

Technically lead the design and implementation of end‑to‑end ML/AI solutions, from problem definition to deployment and monitoring in production

Define architectures and pipelines for Machine Learning, Computer Vision, and Generative AI, including RAG, embeddings, and agentic systems

Contribute hands‑on to the development of models, feature engineering, training, validation, and inference services

Ensure engineering best practices, including model versioning, experiment tracking, MLOps/LLMOps, CI/CD, and observability

Work closely with Data Engineers, MLOps, Product, and business stakeholders, ensuring technical and functional alignment

Support pre‑sales contexts and solution definition, contributing to technical proposals and estimates

Promote component reuse, the creation of accelerators, and technical mentoring of teams