Machine Learning Engineer (BE)
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Role details
Tech stack
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Requirements
- Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field
- Strong programming skills in Python
- Proven experience working with LLMs and modern AI frameworks (e.g., OpenAI, Anthropic, Mistral, Meta)
- Solid understanding of agentic AI concepts and orchestration frameworks (e.g.,
- LangGraph, AutoGen, CrewAI, function calling)
- Experience with Retrieval-Augmented Generation (RAG) and/or hybrid AI systems
- Strong software engineering fundamentals (modular design, APIs, version control with Git)
Preferred Qualifications (Nice to have)
- Experience with clinical trial data (protocols, EDC, CTMS, AE/SAE reporting)
- Familiarity with regulated environments (e.g., life sciences, healthcare)
- Experience deploying AI/ML systems into production environments
- Knowledge of vector databases, embeddings, and information retrieval systems
- Background in NLP, deep learning, or applied AI research
- Experience with data quality, statistical methods, or risk-based monitoring
- Familiarity with GPU computing and performance optimization
About the company
At CluePoints, we’re redefining how clinical trials are run. As the premier provider of Risk-Based Quality Management (RBQM) and Data Quality Oversight software, we harness advanced statistics, artificial intelligence, and machine learning to ensure the quality, accuracy, and integrity of clinical trial data, helping life sciences organizations bring safer, more effective treatments to patients faster.
We’re proud to be an ambitious, fast-growing technology scale-up with a dynamic and diverse international team representing more than 40 nationalities. Collaboration, flexibility, and continuous learning are part of our DNA.
At CluePoints, you’ll find a culture where you can grow, make an impact, and have fun along the way. Guided by our values of Care, Passion, and Smart Disruption, we’re united by a shared mission: to create smarter ways to run efficient clinical trials and deliver AI-powered insights that improve human outcomes worldwide.
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