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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
TensorOps New York, New York, USA Office
New York, New York, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
