Principal Applied AI Researcher - Domain- Specific Models in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Applied AI Researcher - Domain-Specific Models in India.

Join a cutting-edge AI research environment focused on building domain-specific models for high-impact enterprise applications across regulated industries. In this strategic leadership role, you will shape the future of applied AI by driving advancements in model training, evaluation, alignment, and deployment at scale. You will collaborate with world-class researchers, engineers, and product teams to develop highly reliable, explainable, and production-ready AI systems. The position combines deep technical expertise with organizational influence, offering the opportunity to lead ambitious research initiatives and mentor senior talent. Working in a fast-paced and innovation-driven setting, you will contribute directly to enterprise-grade AI solutions that solve real-world challenges in sectors such as finance, energy, aerospace, and supply chain. This is an ideal opportunity for a visionary AI leader passionate about pushing the boundaries of domain-specialized generative AI.

• Define and lead the long-term strategy for domain-specific AI model development, including pre-training, fine-tuning, alignment, evaluation, and release readiness.
• Architect and optimize large-scale, agent-driven AI research infrastructure to accelerate experimentation, benchmarking, and model iteration cycles.
• Drive advanced research initiatives in model adaptation, data curation, reasoning improvement, reward modeling, and post-training optimization techniques.
• Lead the design of rigorous evaluation frameworks focused on robustness, explainability, enterprise readiness, and high-stakes deployment scenarios.
• Collaborate cross-functionally with engineering, product, and research teams to align AI capabilities with business priorities and customer needs.
• Influence platform-wide decisions around model lifecycle management, infrastructure scalability, and AI integration strategies.
• Mentor and develop senior researchers while fostering a culture of technical excellence, innovation, and scientific rigor.
• Contribute hands-on to research, experimentation, publications, patents, and externally visible technical leadership initiatives.

• PhD or MSc in Computer Science, Artificial Intelligence, Machine Learning, NLP, or a related technical field.
• 10+ years of experience in AI/ML research, including at least 4 years working on LLM-based systems in production environments.
• Deep expertise across the complete AI model lifecycle, including pre-training, supervised fine-tuning, alignment, evaluation, and deployment.
• Strong hands-on experience with large-scale distributed training frameworks such as DeepSpeed, FSDP, or Megatron-LM.
• Advanced programming skills in Python and PyTorch, with the ability to contribute directly to complex technical implementations.
• Proven experience designing enterprise-grade evaluation methodologies beyond benchmark metrics, including robustness testing and failure analysis.
• Demonstrated leadership experience shaping AI research strategy, prioritizing investments, and guiding cross-functional technical teams.
• Strong understanding of data curation, data quality, and model performance optimization techniques.
• Experience with RLHF, DPO, reward modeling, or other post-training alignment methods is highly valued.
• Excellent communication, mentoring, and stakeholder management skills with the ability to influence both technical and executive audiences.
• Familiarity with regulated industries such as finance, energy, aerospace, semiconductors, or supply chain is a strong advantage.

• Opportunity to lead groundbreaking AI research initiatives with real-world enterprise impact.
• Hybrid work environment offering flexibility and collaboration.
• Work alongside highly experienced AI researchers, engineers, and industry specialists.
• Exposure to complex, large-scale AI systems serving Fortune 500 organizations.
• Career growth opportunities in a rapidly evolving and innovation-focused environment.
• Collaborative culture that encourages experimentation, ownership, and continuous learning.
• Participation in advanced AI research, publications, and patent initiatives.
• Inclusive and diverse workplace committed to professional development and innovation excellence.