DATA ENGINEER-ADVANCED ANALYTICS

Actively Reviewing the Applications

IBM

India, Haryana, Gurgaon Full-Time

Posted 1 day ago • Apply by June 28, 2026

Job Description

Introduction

We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.

Your Role And Responsibilities

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
Maintain reproducibility and version control using Git, GitHub
Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
Strong programming skills in Python and experience with ML/DL libraries
Experience deploying models via REST APIs or web applications.
Proficient in SQL for data extraction, transformation, and analysis.
Experience working with large datasets, feature engineering, and data preprocessing pipelines.
Solid understanding of model evaluation, cross-validation, and performance metrics.
Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
Strong interpersonal and client communication skills.