Gurugram, Haryana, India
Information Technology
Full-Time
IBM
Overview
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
Master's Degree
Required Technical And Professional Expertise
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.
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.
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