Junior Machine Learning Engineer

Posted 6 Days Ago
Hiring Remotely in USA
Remote
30K-35K
Junior
Artificial Intelligence • Machine Learning • Professional Services • Business Intelligence • Big Data Analytics
Your Partners in AI
The Role
The Junior Machine Learning Engineer will contribute to various AI and ML projects, work on real-world applications, and receive mentorship.
Summary Generated by Built In

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:

  • 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

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.

Required 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

Top Skills

AWS
Catboost
Docker
Fastapi
GCP
Huggingface
Kubernetes
Langchain
Langfuse
Langgraph
Lightgbm
Mlflow
Pandas
Polars
Python
PyTorch
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The Company
HQ: New York, New York
17 Employees
Year Founded: 2022

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

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