Senior Data Scientist

Gurugram, Haryana, India
Mar 18, 2025
Mar 18, 2026
Onsite
Full-Time
8 - 11 Years
Job Description

We are seeking an experienced Senior Data Scientist specializing in Generative AI and Advanced Analytics to join our team. This role requires deep expertise in AI/ML, experience in architecting and deploying large-scale AI systems, and the ability to lead cross-functional teams. You will play a crucial role in driving AI innovation, optimizing analytics workflows, and developing next-generation AI-driven applications that transform businesses.

This position is an exciting opportunity for someone with a strong technical background, leadership experience, and a passion for building AI-powered solutions. If you enjoy solving complex problems, mentoring teams, and staying at the forefront of AI advancements, we'd love to hear from you!

Roles & Responsibilities

  1. Lead AI/ML Strategy & Innovation. Drive the adoption of Generative AI solutions and shape the AI roadmap for enterprise-scale applications.
  2. Develop & Deploy AI Solutions. Design, implement, and optimize machine learning models, particularly in Generative AI, LLMs, and deep learning.
  3. Work on Cutting-Edge AI Models. Build and fine-tune models using advanced techniques like LoRA/QLoRA, Retrieval Augmented Generation (RAG), and multi-agent architectures.
  4. Enhance NLP & AI-driven Applications. Utilize transformers, prompt engineering, and knowledge graphs to improve AI-powered applications.
  5. Architect & Optimize AI Pipelines. Develop scalable and efficient AI solutions by integrating ML models into enterprise environments.
  6. Collaborate Across Teams. Work with engineers, product managers, and business leaders to align AI initiatives with business goals.
  7. Mentor & Lead Teams. Guide junior data scientists and engineers, fostering a culture of learning and technical excellence.
  8. Stay Ahead of Trends. Continuously research emerging AI/ML technologies and identify opportunities to integrate them into our solutions.

Eligibility & Qualifications

Minimum Qualifications

  1. Education. Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, AI/ML, or a related field.
  2. Experience. 8-11 years of hands-on experience in Data Science, AI/ML, and Advanced Analytics, with a strong focus on software system development.

Technical Proficiency

  1. Programming. Expertise in Python and experience with distributed computing.
  2. Cloud & Platforms. Hands-on experience with AWS, Azure, or GCP for AI/ML deployment.
  3. Machine Learning & AI. Strong background in deep learning, NLP, computer vision, and AI model deployment.
  4. Full AI Lifecycle. Experience in designing, deploying, and maintaining AI/ML models in production environments.

Leadership & Strategy

  • Proven ability to lead AI initiatives, mentor teams, and drive AI adoption within an organization.
  • Strong problem-solving skills and the ability to work in a fast-paced, innovative environment.

Technical Skills & Expertise

Core AI/ML Expertise

  1. Generative AI & NLP. Prompt Engineering, RAG (Retrieval Augmented Generation), Corrective RAG, Knowledge Graph-based RAG
  2. Model Fine-Tuning. LoRA/QLoRA, parameter-efficient tuning, multi-agent architectures
  3. AI System Design & Deployment. Developing AI-powered applications for real-world enterprise use cases
  4. Deep Learning & Machine Learning. Transformers, SVMs, Ensemble Learning, Reinforcement Learning

Technical Stack & Tools

  1. Programming. Python
  2. Frameworks. TensorFlow, PyTorch
  3. Cloud & Infrastructure. AWS, Azure, GCP
  4. Big Data & Analytics. Experience with Hadoop, Spark, Kafka (preferred)
  5. DevOps & MLOps. Experience with CI/CD pipelines, Kubernetes, Docker for AI deployment

Experience Required

  • 12-14 years of experience in AI/ML, data science, and analytics.
  • Proven track record of successfully delivering large-scale AI solutions.
  • Strong problem-solving skills and ability to work in fast-paced, complex environments.
  • Experience in full software lifecycle development and AI/ML model deployment.

Why Join Us?

  • Work on cutting-edge AI solutions in a fast-paced, high-impact environment.
  • Collaborate with top talent and industry experts in AI, ML, and analytics.
  • Lead AI innovation and develop solutions that transform businesses.
  • Flexible work culture, career growth opportunities, and mentorship programs.
  • Opportunity to work with Fortune 500 clients and global industry leaders.

If you are passionate about Generative AI, Advanced Analytics, and AI-driven innovation, this role is perfect for you!

About Infogain

Infogain is a human-centered digital platform and software engineering company headquartered in Silicon Valley. We specialize in delivering cutting-edge AI, cloud, microservices, automation, IoT, and software engineering solutions to Fortune 500 companies and high-growth enterprises.

With a strong presence across technology, healthcare, insurance, travel, telecom, and retail industries, we empower organizations to transform their digital experiences. Our expertise in AI/ML, Generative AI, cloud computing, and data engineering enables us to build world-class digital platforms.

Apply now and be part of our AI-driven future!

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