Junior AI/ML Engineer

TensorOps; United States; Remote; EUR 26,000 - 35,000; Full time

Benefits offered by this job

Fully remote

Travel expenses allowance

Urban Sports Club membership

Free professional certifications

Job summary

TensorOps is seeking a Junior Machine Learning Engineer to deliver real-world ML projects. You’ll be mentored by a senior engineer and work hands-on from day one on production-grade ML systems, with a focus on fast delivery and tangible impact.

Ideal candidates hold a BSc in CS/Software Eng or equivalent and an MSc in CS/DS/AI. The role is fully remote for residents of Portugal, with competitive compensation and opportunities to grow within the team.

Qualifications

• 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).

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
• MLOps: Improving ML pipelines at scale

Core Stack:
As we work with many clients, our stack varies, but we often use:

• Python APIs:FastAPI
• Data Engineering:Pandas, Polars
• LLM Frameworks:LangChain, LangGraph
• Observability:MLFlow, Langfuse

The Role:
We’re looking for aJunior Machine Learning Engineerto 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)

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)
• Yearly salary: €30,000
• Travel expenses allowance
• Urban Sports Club membership
• Free Professional Certifications