Job code
IRC279530
Published on 28 October 2025

Associate Consultant – Data Scientist IRC279530

Designation

Associate Consultant

Function

Engineering

Experience

5-10 years

Location

India - Gurgaon

Skills

Agentic GenAI, Deep Learning, Generative AI, Generative AI - LLMs, Neural networks, NLP, Python, Retrieval-Augmented Generation (RAG)

Work Model

On-site

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Description

GlobalLogic is seeking a highly skilled and innovative Data Scientist with a specialization in Natural Language Processing (NLP) and Generative AI to join our growing team. In this role, you will take a lead position in solving complex real-world challenges across diverse domains—designing, developing, and deploying transformative AI solutions. You will have the opportunity to own internal AI product development, guide client-facing initiatives, and shape the technical direction of our AI capabilities. This is an ideal position for a hands-on practitioner and strategic thinker who thrives in dynamic environments and is passionate about advancing the state of AI.

Requirements

  • 4+ years of hands-on experience in Data Science, AI/ML, or related fields, with a proven record of delivering production-grade NLP and Generative AI solutions.
  • Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA, Mistral) and hands-on experience with advanced fine-tuning methods such as PEFT, LoRA, and prompt engineering.
  • Strong expertise in designing and implementing Retrieval-Augmented Generation (RAG) systems using vector databases like Pinecone, Chroma, FAISS, or similar.
  • Expert-level skills in Python and major ML libraries such as PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Familiarity with backend frameworks (e.g., Flask, Django) for API development is highly desirable.
  • Practical experience applying MLOps principles, including containerization (Docker, Kubernetes), CI/CD automation, and deploying scalable AI systems on AWS, GCP, or Azure.
  • Strong problem-solving, analytical, and research abilities, with the capacity to work independently, manage multiple priorities, and deliver innovative solutions in ambiguous environments.
  • Must possess any graduation degree (Must have Provisional Certificate & Consolidated Marks Memo)
  • Must be willing to work from office & in rotational shifts (5 Working Days & 2 Week Offs)
  • Must be ready to join immediately

Job responsibilities

  • Lead the end-to-end design, development, and deployment of cutting-edge NLP and Generative AI systems using Large Language Models (LLMs) to address business-critical challenges.
  • Research and implement state-of-the-art AI techniques, including RAG architectures, fine-tuning (PEFT, LoRA), Agentic AI systems, and multi-modal models.
  • Architect and maintain robust, production-grade pipelines for model training, deployment, monitoring, and automated retraining—ensuring system reliability and efficiency.
  • Identify and mitigate issues such as hallucination, bias, and latency. Develop and enforce guardrails, observability metrics, and safety protocols to ensure fair, reliable, and compliant AI solutions.
  • Optimize inference performance through quantization, model distillation, and efficient pipeline design to reduce latency and operational costs.
  • Partner with cross-functional teams, clients, and stakeholders to define requirements, translate business needs into technical deliverables, and deliver tailored AI-powered solutions.
  • Mentor junior data scientists, promote best practices in AI/ML development, and contribute to a culture of continuous innovation and learning.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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