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Data Scientist-Artificial Intelligence

IBM

Mumbai, India

On-site

Full-time

1mo ago

Benefits & Perks

•Learning and development stipend

•Flexible PTO policy

•Wellness benefits

•Health, dental, and vision coverage

•Top Tier compensation with equity

•Remote work flexibility

Required Skills

TensorFlow

Python

Airflow

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IBM

Data Scientist-Artificial Intelligence

1 month ago• Mumbai, India
Viewed on February 1, 2026
Apply on company site

About Us

IBM researches, develops, manufactures, and markets technology products ranging from mainframe computers to cognitive solutions, always with a core drive to innovate and explore new fields.

Size: 10000+ employees
Industry: Technology

View Company Profile:

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment

Your role and responsibilities

Role Overview:

We are looking for a Senior/Lead ML Data Scientist with strong expertise in the Databricks ML ecosystem and proven experience in Generative AI and LLM fine-tuning. This role will drive end-to-end ML/AI initiatives - from presales solution shaping, customer workshops, and Po Cs to large-scale delivery, deployment, and adoption. The candidate will define AI/ML strategy, ensure successful execution, and mentor teams while driving responsible and business-aligned AI delivery.

Key Responsibilities:

ML & AI Solutioning:

Lead the design and development of machine learning models (classification, regression, clustering, NLP, CV).
Implement ML workflows in Databricks using MLflow, Feature Store, AutoML, and Databricks notebooks.
Optimize and scale training using distributed ML frameworks (Spark MLlib, Horovod, Databricks Runtime for ML).

Presales & Client Engagement:

Partner with sales and consulting teams to support presales activities, including solution design, RFP responses, and client presentations.
Conduct workshops, Po Cs, and live demos showcasing Databricks ML and GenAI capabilities.
Translate complex ML/AI solutions into business value for CXOs and client stakeholders.
Create thought leadership material (whitepapers, Po Vs, reference architectures) to drive market presence.

Delivery & Execution:

Own the end-to-end execution of ML/GenAI projects - from requirements gathering to production deployment.
Ensure scalable, secure, and cost-optimized delivery on Databricks and cloud ML platforms.
Collaborate with cross-functional teams (data engineering, application engineering, cloud infra) to deliver high-quality outcomes.
Establish success metrics, monitor delivery performance, and ensure client satisfaction.

GenAI / LLM Workloads

Fine-tune and optimize LLMs (OpenAI, Llama, Falcon, MPT, Hugging Face Transformers) for domain-specific use cases.
Implement Retrieval Augmented Generation (RAG) pipelines for enterprise search, chatbots, and knowledge assistants.
Evaluate, deploy, and monitor custom fine-tuned models within Databricks Model Serving or cloud ML platforms.
Collaborate with engineering teams to integrate GenAI capabilities into business applications.

MLOps & Governance:

Establish MLOps best practices with Databricks MLflow (experiment tracking, model registry, deployment pipelines).
Implement automated CI/CD for ML pipelines with GitHub Actions, Azure DevOps, or Jenkins.
Define and enforce Responsible AI practices: fairness, explainability (SHAP, LIME), bias detection, compliance.

Leadership & Collaboration:

Mentor and guide junior data scientists and engineers.
Partner with business leaders to identify AI opportunities and define strategy.
Advocate for data-driven decision making across the organization.

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By signing up, you agree to our Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Mandatory Skills:

Strong experience in Databricks ML ecosystem:

MLflow (tracking, registry, deployment).
Feature Store for feature management.
AutoML for model experimentation.
Databricks notebooks & pipelines.
Proven expertise in LLM fine-tuning, prompt engineering, embeddings, and RAG pipelines.
Strong foundation in ML & DL frameworks (Scikit-learn, Tensor Flow, Py Torch).
Hands-on with Python, Spark, SQL for data science workflows.
Proficiency with cloud ML platforms (Azure ML, AWS Sage Maker, GCP Vertex AI).
Experience with large-scale model training, optimization, and deployment.
Strong customer-facing presales experience and delivery ownership in AI/ML projects.

Preferred technical and professional experience

Good to Have:

Familiarity with Databricks MosaicML for efficient LLM fine-tuning.
Hands-on with vector databases (Pinecone, Weaviate, Milvus, FAISS) for RAG.
Exposure to streaming ML inference (Kafka, Event Hub, Kinesis).
Certifications: Databricks ML Specialist, Databricks Generative AI Associate, Azure AI Engineer, AWS ML Specialty.

ABOUT BUSINESS UNIT:

IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS:

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.

Client-provided location(s): Mumbai, India Job ID: IBM-58868Employment Type: OTHERPosted: 2025-12-24T18:47:25Apply on company site

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