Junior AI/ML Engineer

Build the Next Generation of AI Products with TensorOps TensorOps is an applied machine learning and artificial intelligence studio helping organizations worldwide plan, design, train, and deploy production-grade ML systems. Our clients range from NASDAQ-listed enterprises to seed-stage startups. Projects span from small proofs-of-concept to multi-year strategic initiatives. What We’re Working On: - Generative AI applications: Chatbots and Agents - Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc. - MLOps: Improving ML pipelines at scale Core Stack: As we work with many clients, our stack varies, but we often use: - Python APIs: FastAPI - Containerization: Docker, Kubernetes - Model Training & Serving: LightGBM, CatBoost, PyTorch, HuggingFace - Data Engineering: Pandas, Polars - LLM Frameworks: LangChain, LangGraph - Observability: MLFlow, Langfuse - Cloud Platforms: AWS, GCP - Search: Elasticsearch, OpenSearch, Solr The Role: We’re looking for a Junior Machine Learning Engineer to help us deliver projects rapidly. You’ll report to and be mentored by a senior team member. This is a hands-on role from day one, working on real projects that make a tangible impact. Preferred Qualifications: - BSc in Computer Science, Software Engineering or equivalent - MSc in Computer Science, Data Science, AI or equivalent Required Skills: - Solid software engineering fundamentals (OOP, Git, concurrency, parallelism) - Proficiency in Python - Understanding of LLM system design (RAG, agents, etc.) - Knowledge of ML system design (pipelines, training/inference techniques) - Excellent English communication skills Nice to Have: - Experience in non-academic projects (jobs, internships or similar) - Previous LLM projects (academic or otherwise) - Exposure to AI features in cloud platforms (Sagemaker, Bedrock, Vertex AI) - Experience working in large codebases Why TensorOps? - Fully remote (legal residence in Portugal required) - Real-world projects, rapid feedback loops, and measurable impact - Mentorship from engineers who have shipped ML systems at scale - Competitive compensation and growth opportunities - your growth will be based on ownership and performance rather than periodic reviews (which we still do) Compensation & Perks: - Yearly salary: €30,000 - Travel expenses allowance - Urban Sports Club membership - Free Professional Certifications