Principal Data Scientist

Persistent Systems

Pune District

Hybrid

INR 4,000,000 - 7,000,000

Full time

6 hours ago
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Benefits offered by this job

Hybrid work model
Higher education and certifications
Long Service awards
Insurance coverage: group term life, P

Job summary

Persistent Systems seeks a Lead Data Scientist in Pune to define enterprise AI vision, driving research-to-production across Generative AI, LLM fine-tuning, and agentic AI systems with measurable business outcomes.

You will lead a growing data science organization, set technical standards, and align AI initiatives with product and engineering roadmaps while ensuring responsible AI, security, privacy, and governance.

Qualifications

  • 15+ years building and shipping ML systems.
  • Experience leading large cross-functional AI teams.
  • Strong communication and stakeholder management.

Responsibilities

  • Own and evolve AI/ML strategy and multi-year roadmap across generative AI, LLMs, multimodal systems and agentic workflows.
  • Lead, coach, and grow a high-performing data science organization with mentoring and career development.
  • Set research and engineering priorities across model development, fine-tuning, retrieval-augmented generation, evaluation, and agent architectures.
  • Define target-state architecture for AI platforms (MLOps/LLMOps, feature store, model registry, observability) with security, privacy, and responsible AI practices.
  • Partner with product, engineering, legal, security, and business leaders to translate ambiguous problems into scalable AI solutions with clear success metrics.
  • Establish best practices for experimentation, model risk management, evaluation benchmarks, and production monitoring.
  • Represent the organization with executive presence in client forums, industry conferences, and academic partnerships.

Skills

AI leadership
GenAI expertise
MLOps
Stakeholder management

Education

Master's / PhD or BTech

Job description

As the Lead Data Scientist, you will define the enterprise AI vision and spearhead research-to-production initiatives across Generative AI, LLM fine-tuning, and agentic AI systems—delivering measurable business outcomes at scale through strong technical leadership, governance, and cross-functional influence.

  • Role: Principal Data Scientist
  • Location: Pune
  • Experience: 15+ years
  • Job Type: Full Time Employment
What You'll Do:
  • Own and evolve the organization’s AI/ML strategy and multi-year roadmap, identifying high-impact opportunities across generative AI, large language models, multimodal systems, and autonomous/agentic workflows
  • Lead, coach, and grow a high-performing data science organization (hiring, mentoring, performance development), setting technical standards and career paths for senior ICs and managers
  • Set research and engineering priorities across model development, fine-tuning (SFT/RLHF/RLAIF), retrieval-augmented generation, evaluation, and agent architectures—balancing innovation, risk, and time-to-value
  • Define target-state architecture for AI platforms (MLOps/LLMOps, feature store, model registry, observability), ensuring security, privacy, compliance, and responsible AI practices
  • Partner with product, engineering, legal, security, and business leaders to translate ambiguous problems into scalable AI solutions with clear success metrics and adoption plans
  • Establish best practices for experimentation, model risk management, evaluation benchmarks, and production monitoring (quality, latency, cost, drift), enabling reliable and repeatable delivery
  • Represent the organization with executive presence in client forums, industry conferences, and academic partnerships; contribute to thought leadership, patents, and publications where relevant
Expertise You'll Bring:
  • Master’s / PhD or BTech in Computer Science, Data Science, Machine Learning, or a related field (or equivalent, demonstrable industry expertise)
  • 8+ years building and shipping ML systems, with significant experience leading large, cross-functional AI teams and influencing product/engineering roadmaps
  • Deep expertise in generative AI and foundation models, including prompt engineering, RAG, fine-tuning, evaluation, and agentic architectures; strong grasp of reinforcement learning concepts and trade-offs
  • Proven experience designing and operating enterprise ML/GenAI platforms (MLOps/LLMOps), scaling training/inference, optimizing cost and latency, and ensuring reliability and observability in production
  • Strong record of innovation (publications/patents/open-source contributions) and/or demonstrable industry impact through successful delivery of AI products at scale
  • Exceptional communication and stakeholder management skills—able to align executives and delivery teams, explain complex topics clearly, and drive decisions through crisp narratives and data.
  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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