Senior Machine Learning Engineer
Skills
Cypher Query LanguageData CollectionData ManipulationData ScienceModel SelectionNeural NetworksOptimising
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Minimum 3-5 years experience as an ML engineer
- Provide technical leadership on complex projects
- Degree in Software Engineering, Computer Science, or related field
- Proficiency in NLP and ML techniques
- Mastery of ML frameworks and libraries
- Experience with Python, PyTorch, and ML model delivery
- Familiarity with Large Language Models and Retrieval Augmented Generation architecture
- Knowledge of graph machine learning and biological ontologies
- Strong problem-solving skills and attention to scalability/performance
- Excellent communication skills
- Experience in cross-functional teams with scientific background
Nice to have
- PhD
- Agile Experience
- Graph Data Science
Day to day
- Design and implement ML-based approaches to analyze and generate knowledge from biomedical data
- Work with a team to deliver on mission to expedite drug discovery
- Enrich knowledge graph through classification and discovery of implicit relationships
- Collaborate with team members on applying ML algorithms to data
- Push boundaries with cutting-edge ML/AI in a fail-fast environment