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