This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Applied AI Researcher in India.
This role is designed for a researcher who thrives at the intersection of advanced AI research and real-world enterprise impact. You will work on next-generation GenAI systems tailored for high-stakes, regulated industries where accuracy, explainability, and auditability are critical. The position spans the full research lifecycle, from defining problems and designing experiments to training large-scale models and deploying production-ready systems. You will contribute to multimodal AI, reinforcement learning, and knowledge-grounded systems while leveraging agentic workflows to accelerate discovery. The environment is highly collaborative, bringing together research, engineering, and domain experts to push the boundaries of enterprise-grade AI. This is a high-impact role where research directly translates into deployed systems used by Fortune 500 organizations.
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Accountabilities:
- Own and drive end-to-end AI research programs, from problem definition through production deployment, using agentic AI systems to accelerate experimentation and iteration.
- Design and execute large-scale model training workflows, including pretraining, fine-tuning, reinforcement learning (RLHF, DPO), and post-training optimization.
- Conduct deep analysis of model behavior using diagnostics such as loss curves, gradients, and evaluation metrics to identify and resolve failure modes.
- Develop multimodal AI systems spanning text, images, tables, and structured documents, along with hybrid retrieval and knowledge-based architectures.
- Build and optimize agent-driven data pipelines for large-scale curation, preprocessing, and training data quality management.
- Collaborate with engineering and product teams to compress research-to-production cycles using automated evaluation and CI/CD pipelines.
- Mentor researchers on agentic AI workflows and contribute to internal knowledge systems that scale team-wide learning and innovation.
- Publish research findings and contribute to advancing internal and external AI knowledge ecosystems.
Requirements:
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in AI/ML research with demonstrated production-level research outputs.
- At least 2+ years of hands-on experience building and deploying LLM-based systems.
- Strong experience with full training pipelines, including pretraining, fine-tuning, and post-training model optimization.
- Deep expertise in at least one area such as multimodal learning, reinforcement learning from human feedback, knowledge-grounded generation, or retrieval-augmented systems.
- Experience with distributed training frameworks such as DeepSpeed, FSDP, or Megatron-LM.
- Strong software engineering skills in Python with production-grade coding practices and clean system design.
- Ability to diagnose and resolve model training issues using analytical and experimental approaches.
- Experience working on domain-specific AI systems where evaluation criteria must be defined from scratch is highly preferred.
- Exposure to production AI systems, cloud-native infrastructure, and scalable ML pipelines is a plus.
- Strong intellectual curiosity, problem-solving ability, and ability to work in fast-paced research environments.
Benefits:
- Opportunity to work on cutting-edge enterprise GenAI systems used in regulated, high-impact industries.
- Exposure to advanced AI research areas including agentic systems, multimodal learning, and reinforcement learning.
- Strong collaboration with world-class research, engineering, and domain experts.
- High ownership role spanning research to production deployment.
- Access to large-scale compute environments and modern ML infrastructure.
- Career growth in a fast-evolving AI research organization.
- Opportunity to publish research and contribute to frontier AI innovation.
- Dynamic, innovation-driven environment focused on real-world AI impact.
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How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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