Senior ML Research Engineer

Blackbuck Insights, LLC; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Blackbuck Insights, LLC seeks a Senior Machine Learning Researcher to lead end-to-end ML research initiatives and deliver production-ready solutions. You will mentor junior researchers and shape the AI roadmap while aligning research with product goals and customer outcomes.

The role requires strong Python expertise and deep knowledge of deep learning, LLMs, and multi-modal methods, with a track record of deploying research into scalable systems.

Qualifications

• Advanced degree in ML/CS/math with strong research record.
• Proven ownership of ML research projects from design to deployment.
• Experience mentoring junior researchers and promoting teammates.
• Strong Python and ML tooling expertise (PyTorch, JAX, HuggingFace).
• Familiarity with production constraints, latency/memory considerations.

Responsibilities

• Lead end-to-end ML research projects from problem definition to deployment.
• Mentor junior researchers and drive technical excellence across the team.
• Collaborate with product and data engineering to align research with product needs.

Skills

Python

Deep learning

Timeseries

Computer vision

Large language models

ML leadership

Education

M.Sc. in ML/CS/Applied Mathematics

Ph.D. in a relevant field

Tools

PyTorch

JAX

HuggingFace

Weights & Biases

Job description

BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

Job Description

Position Summary

The Senior Machine Learning Researcher is a high-impact individual contributor roleresponsible for leading complex research initiatives and developing cutting-edgemachine learning methodologies. This position plays a key role in shaping AI roadmapby delivering novel, production-ready ML solutions that advance product capabilitiesand improve customer outcomes. The Senior Machine Learning Researcher is a keydriver of AI innovation, shaping both the research agenda and the technical growth ofthe team.

In addition to direct technical contributions, this role provides mentorship and technicalleadership for junior researchers, helping to foster a culture of innovation, rigor, andknowledge sharing across the team.

Responsibilities:

Research Leadership

• Lead end-to-end ML research projects, from problem definition throughexperimentation, model design, evaluation, and deployment.
• Identify novel techniques, architectures, or workflows that unlock newproduct capabilities or improve current systems.
• Design and guide comparative studies, benchmarks, and feasibilityassessments for emerging methods. Note: ML Researcher needs to handle building custom color models for specific customers aswell as image-related models for features added to the application.

Technical Execution

• Own the development of complex models including embeddings,transformers, diffusion models, or multi-modal systems where applicable.
• Collaborate with ML Engineers and MLOps to integrate researchoutputs into production-grade systems.

Mentorship & Technical Stewardship

• 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 MLResearcher I to II.
• Provide peer review of code, experimental design, and results; setstandards for research documentation and reproducibility.
• Help define best practices and technical strategy for the broader ML function.

Cross-Functional & Strategic Collaboration

• Engage with Product and Engineering teams to align research with productvision and practical user needs.
• Partner with Data Engineering to define new datasets or labelingstrategies to support advanced ML pipelines.
• Contribute to long-term planning for ML investments and team capacity.

Requirements

• M.Sc. in Machine Learning, Computer Science, Applied Mathematics, or arelated field with 5–6 years of industry experience
• OR Ph.D. in a relevant field with 2–3 years of post-graduate industry experience
• Demonstrated ownership of ML research projects from design through deployment
• Strong expertise in areas such as deep learning, generative modeling, timeseries, computer vision, or large language models
• Proven experience mentoring junior researchers, including at least onepromotion from ML Researcher I → II
• Proficient in Python and modern ML tooling (e.g., PyTorch, JAX,HuggingFace, Weights & Biases, etc.)
• Familiarity with production constraints (latency, memory, real-timeinference) and model lifecycle management