Data Scientist

Job Title:

Location:

Job Type:

Experience Level: 4+ Years

NP : Immediate Joiner OR15 Days Max

Data Scientist / AI Engineer

Key Responsibilities

• Design, build, and deploy machine learning models and Generative AI solutions for a wide range of use cases (text, vision, and tabular data).
• Develop and maintain AI/ML pipelines for large-scale training and inference in production environments.
• Leverage frameworks such as

  LangChain, LangGraph, CrewAI

  for building

  Agentic AI

  workflows.
• Fine-tune and prompt-engineer

  LLMs

  (e.g., GPT, BERT) for enterprise-grade RAG and NLP solutions.
• Collaborate with business and engineering teams to translate business problems into AI/ML models that deliver measurable value.
• Apply advanced analytics techniques such as regression, classification, clustering, sequence modeling, association rules, computer vision, and NLP.
• Architect and implement scalable AI solutions using

  Python

  ,

  PyTorch

  ,

  TensorFlow

  , and cloud-native technologies.
• Ensure integration of AI solutions within existing enterprise architecture using containerized services and orchestration (e.g., Docker, Kubernetes).
• Maintain documentation and present insights and technical findings to stakeholders.

Required Skills and Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Data Science, Statistics, or related field.
• Strong proficiency in

  Python

  and libraries such as Pandas, NumPy, Scikit-learn, etc.
• Extensive experience with

  deep learning frameworks

  : PyTorch and TensorFlow.
• Proven experience with

  Generative AI

  ,

  LLMs

  ,

  RAG

  ,

  BERT

  , and related architectures.
• Familiarity with

  LangChain

  ,

  LangGraph

  , and

  CrewAI

  and strong knowledge of agent orchestration and autonomous workflows.
• Experience with

  large-scale ML pipelines

  , MLOps practices, and cloud platforms (AWS, GCP, or Azure).
• Deep understanding of

  software engineering principles

  , design patterns, and enterprise architecture.
• Strong problem-solving, analytical thinking, and debugging skills.
• Excellent communication, presentation, and cross-functional collaboration abilities.

Preferred Qualifications

• Experience in fine-tuning LLMs and optimizing prompt engineering techniques.
• Publications, open-source contributions, or patents in AI/ML/NLP/GenAI.
• Experience with vector databases and tools such as Pinecone, FAISS, Weaviate, or Milvus.

Why Join Us?

• Work on cutting-edge AI/ML and GenAI innovations.
• Collaborate with top-tier scientists, engineers, and product teams.
• Opportunity to shape the next generation of intelligent agents and enterprise AI solutions.
• Flexible work arrangements and continuous learning culture.

To Apply: