Job Description
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.
* 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: Management 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
Keyskills:
rest
python
development
github
natural language processing
ibm cloud
microsoft azure
interpersonal skills
machine learning
transformation
sql
deep learning
data extraction
git
cloud architecture
data science
gcp
design
client
end
aws
programming
communication skills