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Build the Next Generation of AI Products with TensorOps
TensorOps is an applied machine learning 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:
As we work with many clients, our stack varies, but we often use:
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.
Required Qualifications:
TensorOps is an applied machine learning 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
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
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.
Required Qualifications:
- BSc in Computer Science, Software Engineering or equivalent
- MSc in Computer Science, Data Science, AI or equivalent
- 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
- 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
- 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)
- Yearly salary: €30,000-35,000
- Travel expenses allowance
- Urban Sports Club membership
Key Skills
Ranked by relevance
ai
machine learning
computer vision
pytorch
docker
pandas
mlflow
cloud
git
aws
oop
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- Posted
- Aug 04, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Portugal
- Company
- TensorOps
Industries
Software Development
Categories
Engineering
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Machine Learning Engineer
2026-05-27
Full-time
Not Applicable
Brazil
Software Development
Engineering
View Job Details
Related
Staff Machine Learning Engineer
2026-05-27
Full-time
Not Applicable
Australia
Software Development
Engineering
View Job Details
Related
Machine Learning Engineer II
2026-05-20
Full-time
Not Applicable
Brazil
Software Development
Engineering