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
Skills Required
- Solid software engineering fundamentals (OOP, Git, concurrency, parallelism)
- Proficiency in Python
- Understanding of LLM system design (RAG, agents)
- Knowledge of ML system design (pipelines, training/inference techniques)
- Excellent English communication skills
- BSc in Computer Science, Software Engineering or equivalent
- MSc in Computer Science, Data Science, AI or equivalent
- 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
What We Do
TensorOps is a global AI, ML & Data consulting and professional services firm that accelerates business value through rapid, efficient technology adoption, combining strategic executive consultancy with hands-on deployment to deliver tailored solutions across adtech, healthcare, fintech and beyond. With a multidisciplinary team of 20 engineers and business strategists, spanning through Portugal, USA, UK and Israel, we ensure the right AI approach for every organisation, from first-time adopters to established industry leaders, such as Notion, KLA, Minute Media, and Seeking Alpha. TensorOps is a Google Cloud Partner and AWS Partner
