AI Summary
We're looking for a Junior Machine Learning Engineer to help us deliver state-of-the-art projects. 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.
Key Highlights
Generative AI applications: Chatbots and Agents
Traditional Machine Learning: Time Series Forecasting, AdTech, Computer Vision, etc.
MLOps: Improving ML pipelines at scale
Key Responsibilities
Build the Next Generation of AI Products with TensorOps
Work on real projects that make a tangible impact
Help deliver state-of-the-art projects
Technical Skills Required
Benefits & Perks
Fully remote
Yearly salary: €30,000-35,000
Travel expenses allowance
Urban Sports Club membership
Free Professional Certifications
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
Job Description
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
We’re looking for a Junior Machine Learning Engineer to help us deliver state of the art projects. 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.
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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- Free Professional Certifications
If your application is selected, our HR team will reach out to invite you to an initial conversation with our recruitment team.
If successful, you’ll move on to a technical interview. This interview does not involve live coding or a take-home assignment.
The final step is a conversation with the hiring manager.
We do our best to carefully review all applications and respond to every candidate. While this isn’t always possible due to volume, we truly appreciate the time and effort you put into applying.
If you’re excited about this role but don’t meet every requirement, we still encourage you to apply, especially if you’re from an underrepresented group.
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