About the Role
We are seeking a talented Machine Learning Engineer to join our growing AI team.
Main Responsibilities:
* Design, train, fine-tune, and deploy ML/LLM models for production.
* Buid retrieval-augmented generation pipelines using vector databases and frameworks like LangChain, LangGraph, and MCP.
* Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineers to maintain data pipelines for ML workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Implement model monitoring, drift detection, and retraining pipelines.
* Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.
* Cross-functional collaboration with R&D, data science, product, and engineering teams.
* Mentor junior engineers and contribute to best practices in ML engineering.
Requirements:
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
* At least 3 years of experience building and deploying ML systems.
* English proficiency (B2 level).
* Strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.