Group Manager- Data Science @ IBM

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Group Manager- Data Science

IBM
12 - 17 years
Bengaluru
4 months ago
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Job Description

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.

Required education
Bachelor's Degree Preferred education
Master's Degree Required technical and professional expertise

1012 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.

Preferred technical and professional experience

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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time

Contact Details:

Company: IBM
Location(s): Bengaluru

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Keyskills: python microsoft azure machine learning gcp aws rest semantic github natural language processing software testing ibm cloud artificial intelligence sql deep learning data extraction git cloud architecture data science production processes ml

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Group Manager- Data Science @ IBM

Home > Data Science & Machine Learning