Location: Fully Remote (Legal Residence in Portugal Required)
Duration: 3-Month Internship
Build the Next Generation of AI Products with TensorOps
TensorOps is an applied AI studio helping organizations worldwide plan, design, train, and deploy production-grade ML systems. We believe that diverse backgrounds strengthen our team and are excited to offer an internship for students from the life sciences who are passionate about transitioning into software and AI. This is a unique opportunity to leverage your analytical skills from biotechnology and apply them to cutting-edge machine learning challenges.
What We’re Working On- Generative AI applications: LLMs and Agents 
- Machine Learning: Gradient Boosted Trees, Reinforcement Learning 
- MLOps: ML pipelines at scale 
As we work with many clients, our stack varies, but you will gain exposure to:
- 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 an AI/ML Engineering Intern to join us for a 3-month intensive program. This role is specifically designed for students with a background in biotechnology or related fields who want to build a new career in tech. You’ll report to and be mentored by a senior team member, working on real projects that make a tangible impact from day one. Our goal is to provide you with the foundational skills for a successful career in machine learning.
Who We're Looking For- Background: Currently pursuing or recently completed a BSc or MSc in Biotechnology, Bioengineering, or a related life sciences field. 
- Passion: A demonstrable passion for AI, perhaps through personal projects, online courses, or self-study. 
- Fundamentals: A foundational understanding of programming concepts (e.g., data structures, object-oriented principles). 
- Curiosity: An eagerness to learn about LLM system design (RAG, agents) and ML system design (pipelines, training/inference). 
- Communication: Excellent English communication skills. 
- Career Transition: A dedicated pathway from biotech into the world of AI. 
- Real-World Impact: Work on real-world projects, benefit from rapid feedback loops, and see your measurable impact. 
- Mentorship: Learn from experienced engineers who have shipped ML systems at scale. 
- Growth Path: This internship is a direct pipeline to a full-time role. Exceptional interns will be considered for a Junior Machine Learning Engineer position (€25,000-€40,000 annual salary) upon successful completion of the program. 
- Internship Salary: €25,000-€35,000 (annual, prorated for the 3-month duration). 
- Benefits: Travel expenses allowance and an Urban Sports Club membership. 
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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
                                
 
                            






