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: €30,000-35,000

• Travel expenses allowance

• Urban Sports Club membership

• Free Professional Certifications