The Senior Machine Learning Researcher is a high-impact individual contributor role
responsible for leading complex research initiatives and developing cutting-edge
machine learning methodologies. This position plays a key role in shaping AI roadmap
by delivering novel, production-ready ML solutions that advance product capabilities
and improve customer outcomes. The Senior Machine Learning Researcher is a key
driver of AI innovation, shaping both the research agenda and the technical growth of
the team.
In addition to direct technical contributions, this role provides mentorship and technical
leadership for junior researchers, helping to foster a culture of innovation, rigor, and
knowledge sharing across the team
Responsibilities:
Research Leadership
â Lead end-to-end ML research projects, from problem definition through
experimentation, model design, evaluation, and deployment.
â Identify novel techniques, architectures, or workflows that unlock current
product capabilities or improve current systems.
â Design and guide comparative studies, benchmarks,
and feasibility
assessments for emerging methods.
Note: ML Researcher needs to handle building custom color models for specific customers as
well as image-related models for features added to the application.
Technical Execution
â Implement scalable, performant training pipelines using state-of-the-art
frameworks (e.g., PyTorch, JAX).
â Own the development of complex models including embeddings,
transformers, diffusion models, or multi-modal systems where applicable.
â Collaborate with ML Engineers and MLOps to integrate research
outputs into production-grade systems.
Mentorship & Technical Stewardship
â Act as a mentor and technical advisor to ML Researcher I/II team members;
must have directly contributed to the promotion of at least one ML
Researcher I to II.
â Provide peer review of code, experimental design, and results; set
standards for research documentation and reproducibility.
â
📌 Senior ML Research Engineer (Bengaluru)
🏢 Blackbuck Insights
📍 Bengaluru
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