Artificial Intelligence Researcher

Bandhan Technologies; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Bandhan Technologies in Bengaluru invites a seasoned AI researcher to lead and deliver high impact research in AI and data, owning execution excellence with measurable business value, technical depth, and governance.

You will develop novel algorithms for LLMs and generative models, publish findings, build prototypes, define benchmarks, and contribute to open-source tools—shipping with production-grade reliability and governance.

Qualifications

• Bachelor’s/Master’s in CS/CE/EE/Data Science or equivalent practical experience.
• Strong Python programming; familiarity with modern data/ML ecosystems.
• Proven track record of shipping and operating systems in production.

Responsibilities

• Novel algorithms or architectures – Development of new techniques for LLMs, agentic AI, or generative models that outperform existing baselines.
• Published research & thought leadership – Peer-reviewed papers, whitepapers, or technical blogs showcasing innovation and advancing industry knowledge.
• Prototype systems & proof-of-concepts – Working demos of new AI capabilities validated for feasibility and scalability.
• Performance benchmarks & evaluation frameworks – Comprehensive metrics for accuracy, latency, cost, fairness, and robustness across models.
• Open-source contributions & tools – Release of reusable libraries, datasets, or frameworks to accelerate adoption and community engagement.

Skills

Python

LLMs

Machine Learning

Experimentation

Git

Notebooks

Education

Bachelor’s/Master’s in CS/CE/EE/Data Science

Tools

MLflow

Git

Job description

• Experience: 4–6 years, Research Scholar, Author
• Primary Tech/Domain: Python, ML, LLMs

Role Summary

Lead and deliver high impact research in AI and data. Own execution excellence with measurable business value, technical depth, and governance.

Responsibilities:

• Novel algorithms or architectures – Development of new techniques for LLMs, agentic AI, or generative models that outperform existing baselines.
• Published research & thought leadership – Peer-reviewed papers, whitepapers, or technical blogs showcasing innovation and advancing industry knowledge.
• Prototype systems & proof-of-concepts – Working demos of new AI capabilities validated for feasibility and scalability.
• Performance benchmarks & evaluation frameworks – Comprehensive metrics for accuracy, latency, cost, fairness, and robustness across models.
• Open-source contributions & tools – Release of reusable libraries, datasets, or frameworks to accelerate adoption and community engagement.

Technical Skills:

• Experimentation: notebooks, MLflow logging, reproducibility
• Optimization: quantization (bitsandbytes), distillation, throughput/latency
• Publishing: experiment reports, ablations, open-source contributions, publishing research papers.
• Source control & workflow: Git, branching standards, PR reviews, trunk-based delivery.
• Observability: logs, metrics, traces; dashboards with alerting & on-call runbooks.
• Data/Model registries: metadata, lineage, versioning; staged promotions.

Qualifications:

• Bachelor’s/Master’s in CS/CE/EE/Data Science or equivalent practical experience.
• Strong applied programming in Python; familiarity with modern data/ML ecosystems.
• Proven track record of shipping and operating systems in production.