Description

We are seeking an experienced and innovative Data Scientist specializing in Natural Language Processing (NLP) and Generative AI to join our dynamic team. In this role, you will take a leading position in solving complex challenges for our clients, with a unique opportunity to make an impact in different domain. You will own the development of internal AI products and steer client-focused projects, architecting and deploying cutting-edge AI solutions. This is a role for a hands-on practitioner who can drive projects from concept to production and mentor fellow team members.

Requirements

Experience: 4+ years of hands-on experience in Data Science, AI/ML, or a related field, with a proven track record of delivering production-grade NLP and Generative AI solutions.
LLM & Transformer Expertise: Deep knowledge of transformer architectures (e.g., BERT, GPT, LLaMA, Mistral) and hands-on experience with advanced fine-tuning techniques.
RAG & Vector Databases: Strong practical experience designing and building systems using Retrieval-Augmented Generation (RAG) with vector databases like Pinecone, Chroma, FAISS, or similar.
Technical Proficiency: Expert-level proficiency in Python and core data science/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Solid understanding of backend development principles and experience building APIs (e.g., Flask, Django) is highly desirable.
MLOps & Cloud Skills: Hands-on experience with MLOps principles and tools, including containerization (Docker, Kubernetes) and deploying scalable solutions on cloud platforms (AWS, GCP, or Azure).
Problem-Solving Mindset: A strong analytical and problem-solving mindset with the ability to work independently, manage project priorities, and drive innovation from ambiguity.

Job responsibilities

Design & Architect AI Solutions: Lead the end-to-end design, development, and deployment of sophisticated NLP and Generative AI solutions, leveraging Large Language Models (LLMs) to address critical business needs.
Implement Advanced Techniques: Drive the research and implementation of state-of-the-art techniques including Retrieval-Augmented Generation (RAG), fine-tuning (PEFT, LoRA), Agentic AI systems, and multi-modal models.
Build Scalable Pipelines: Architect and build robust, production-grade MLOps pipelines for model deployment, including automated retraining, error management, CI/CD, and continuous monitoring.
Ensure Model Reliability & Safety: Proactively address and mitigate challenges inherent in LLMs, such as hallucinations, bias, and latency. Implement robust model observability, guardrails, and safety protocols to ensure fairness and reliability in production.
Optimize for Performance: Develop and implement strategies for optimizing model inference, leveraging techniques like quantization, model distillation, and efficient pipeline architecture to improve performance and manage costs.
Collaborate and Lead: Work closely with internal teams, clients, and stakeholders in different domains—to define requirements, translate business needs into technical specifications, and deliver tailored AI-powered systems.
Mentor and Innovate: Act as a technical mentor for junior data scientists, championing best practices in AI/ML development and contributing to a culture of continuous learning and innovation.

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

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.

Data Scientist NLP / Generative AI (4 to 7 years of relevant experience) IRC279529