Group Manager- Data Science
- IBM
- 12 - 17 years
- Bengaluru
- 22 days 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
- 10 12 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Head - Data ScienceEmployement Type: Full timeContact Details:
Company: IBMLocation(s): Bengaluru
Keyskills: data science data preprocessing rest python github natural language processing ibm cloud ai databricks llm machine learning sql deep learning git nlp model evaluation gcp regression feature engineering clustering aws azure
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