Generative AI Engineer (4 to 8 years of experience) IRC279043

Hitachi Vantara Corporation; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive salaries

Family medical insurance

Group term life insurance

Group personal accident insurance

NPS

Annual performance bonuses

Referral bonuses

Flexible work options

Job summary

GlobalLogic in Noida / Gurugram is seeking a Generative AI Engineer with 4–8 years of experience to advance Gen AI with LLMs and RAG. Proficiency in Python and DL libraries is essential, with focus on model fine-tuning and deployment.

You will design scalable AI solutions, collaborate with cross-functional teams, and stay updated on OpenAI and other research developments while contributing to high-impact projects.

Qualifications

• Bachelor's or Master's in CS, AI, ML or related field.
• Hands-on Gen AI/Deep Learning model development & deployment.
• Strong Python and data science libraries (TensorFlow, PyTorch, Hugging Face, LangChain).

Responsibilities

• Design, develop, and implement Generative AI solutions using state-of-the-art models.
• Train, fine-tune LLMs for specific use cases with high accuracy.
• Develop and integrate Retrieval-Augmented Generation (RAG) systems.
• Apply Deep Learning/Neural Networks to scalable AI systems.
• Utilize NLP for text classification, sentiment, and NER.
• Manage complete AI model lifecycle: embedding prep, data prep, deployment, monitoring.

Skills

Python

NLP

LLMs

RAG

LoRA/QLoRA

TensorFlow

PyTorch

Hugging Face

LangChain

Embedding prep

Word2Vec/GloVe

Education

Bachelor's or Master's in CS/AI/ML

Tools

Docker

Kubernetes

MLflow

Job description

Description

Generative AI Engineer

4-8years

Work Location 5 days working: Noida / Gurugram GlobalLogic office

we need a Person who started carrer with AI/ML or as Data Scientist and Now into Gen AI with LLM RAG

along with Python , Finetuning

Requirements

1. Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
2. Proven hands-on experience in building and deploying Gen AI and Deep Learning models.
3. Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
4. In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA).
5. Solid understanding of Neural Network fundamentals.
6. Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers).
7. Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB).
8. Familiarity with APIs from major AI providers like OpenAI, Google.
9. Strong problem-solving skills and the ability to work independently and in a team environment.

Preferred Qualifications

1. Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
2. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).
3. Contributions to open-source AI/ML projects or a portfolio of relevant work.
4. Published research in the field of AI, NLP, or Machine Learning.

Job responsibilities

Key Responsibilities:

1. Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques.
2. Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy.
3. Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases.
4. Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems.
5. Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition.
6. Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring.
7. Write clean, efficient, and well-documented code, primarily in Python.
8. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features.
9. Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions.

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:

• 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
• referral bonuses

Fun Perks:

• sports events
• cultural activities
• offer food on subsidies rates
• Corporate parties

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.