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Senior Machine Learning Research Engineer – Benchmarking, Paper Replication
AvengaSenior Machine Learning Research Engineer at Avenga examining and validating ML methodologies in an R&D environment. Collaborating with engineers and researchers to build practical prototypes.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Explore, reproduce, benchmark and validate ML methodologies
- Work in an R&D / PoC environment
- Collaborate with AI engineers and ML researchers
- Validate model performance and prepare ground truth data
Requirements
What you’ll need- Strong machine learning fundamentals
- Hands-on experience with ML research or applied research projects
- Experience reading scientific / academic ML papers
- Ability to dissect academic papers and debug open-source repositories
- Experience identifying, curating, and constructing benchmark datasets
- Strong Python skills
- Practical understanding of model evaluation and metrics
- Comfortable working under compute constraints
Benefits
Comp & perks- Equal opportunities in recruitment
- Career development
- Leadership support
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningPythonmodel evaluationbenchmark datasetsML methodologiesapplied researchdebuggingdata validationperformance metricsR&D
Soft Skills
collaborationanalytical thinkingproblem-solvingattention to detailcommunication