Junior AI/ML Engineer

About the role

TensorOps is seeking a Junior Machine Learning Engineer to join its remote team. You will work on real‑world AI projects, from generative‑AI chatbots to traditional ML pipelines, under the mentorship of senior engineers.

Key responsibilities

• Develop and deploy production‑grade ML models for diverse client projects.
• Implement and maintain MLOps pipelines using Docker, Kubernetes and cloud services.
• Collaborate on LLM‑based solutions, including retrieval‑augmented generation and autonomous agents.
• Write clean, testable Python code and contribute to shared codebases.
• Participate in code reviews, documentation, and performance monitoring.

Required profile

• BSc in Computer Science, Software Engineering or related field (MSc a plus).
• Strong software engineering fundamentals (OOP, Git, concurrency, parallelism).
• Proficiency in Python and ability to work in fast‑paced remote teams.
• Good English communication skills.

Required skills

• Python
• FastAPI
• Docker & Kubernetes
• LightGBM, CatBoost, PyTorch, HuggingFace
• Pandas, Polars
• LangChain, LangGraph
• MLflow, Langfuse
• AWS, GCP
• Elasticsearch, OpenSearch, Solr
• Git, OOP, concurrency, parallelism

What we offer

• Fully remote work (legal residence in Portugal required).
• Mentorship from engineers who have shipped large‑scale ML systems.
• Competitive salary €30,000‑35,000 per year.
• Travel allowance, Urban Sports Club membership, and free professional certifications.