Data Scientist - AI / ML

Adobe · Gurgaon

  • Experience5–8 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted21 Sept 2026
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About Adobe

Adobe is hiring in Gurgaon in technology software. This role looks for around 5+ years of experience.

Skills

  • artificial intelligence
  • machine learning
  • large language models
  • Python
  • Llama
  • LangChain
  • RAG
  • agentic AI systems
  • deep learning
  • NLP
  • prompt engineering
  • TensorFlow
  • PyTorch
  • data structures
  • algorithms
  • scalable system design

The role

A Generative AI Engineer at a technology software company designs and deploys artificial intelligence, machine learning, and large language model solutions using Python, RAG, and agentic AI systems. The role builds production applications with LangChain and TensorFlow while applying NLP and prompt engineering.

Full job description

We are looking for a skilled AI/ML Developer with 5-8 years of experience in designing and developing AI-driven applications. The candidate should have strong expertise in artificial intelligence, machine learning, and large language models (LLMs), with hands-on experience in modern AI technologies.

Responsibilities:

Design, develop, and deploy AI/ML models and solutions.

Build applications using LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks.

Develop and optimize machine learning algorithms and data pipelines.

Work with large datasets to train, evaluate, and improve models. Integrate AI models into production systems and applications.

Collaborate with cross-functional teams to deliver AI-based solutions.

Stay updated with the latest advancements in AI/ML technologies.

Requirements:

Experience: 5-8 Years.

Must Have Skills Experience with implementation of AI frameworks like Llama and LangChain.

Strong experience in Python programming.

Hands-on experience with AI, machine learning, and deep learning frameworks.

Experience working with LLMs, RAG architectures, and agentic AI systems.

Knowledge of NLP, model fine-tuning, and prompt engineering.

Experience with AI frameworks such as TensorFlow, PyTorch, LangChain, or similar tools.

Understanding of data structures, algorithms, and scalable system design.

Preferred Qualifications:

Experience with cloud platforms (AWS, Azure, or GCP).

Experience in deploying AI models in production environments.

Strong problem-solving and analytical skills.

Qualifications: B. Tech/B. E. in Computer Science, Electronics, AI/ML, or a related field.