Data Scientist – Artificial Intelligence at IBM India (Hybrid) | Kochi, Kerala | Apply for AI & Data Science Jobs
Artificial Intelligence is transforming every industry, and
organizations are looking for professionals who can build intelligent systems
that solve real-world business problems. If you have experience in Machine
Learning, Large Language Models (LLMs), Natural Language Processing (NLP),
Python, and cloud technologies, then the Data Scientist – Artificial
Intelligence position at IBM India could be an excellent career
opportunity.
IBM Consulting is known for helping global enterprises adopt
AI, cloud computing, automation, and digital transformation technologies. This
role allows experienced professionals to work on enterprise AI projects,
collaborate with international teams, and build next-generation AI solutions
using modern frameworks and foundation models.
In this article, you'll find everything about the IBM Data Scientist Artificial Intelligence job, including responsibilities, required skills, eligibility, career growth, and practical preparation tips before your interview.
IBM Data Scientist – Artificial Intelligence Job Overview
|
Job Details |
Information |
|
Job Title |
Data Scientist – Artificial Intelligence |
|
Company |
IBM India Private Limited |
|
Location |
Kochi, Kerala, India |
|
Work Mode |
Hybrid |
|
Employment Type |
Regular |
|
Experience |
7–9 Years |
|
Education |
Bachelor's Degree (Master's Preferred) |
|
Department |
Data & Analytics |
|
Travel |
Up to 20% |
|
Shift |
General Day Shift |
About IBM Consulting
IBM Consulting works with some of the world's biggest
organizations, helping businesses modernize using Artificial Intelligence,
Hybrid Cloud, Data Analytics, Automation, and Digital Transformation
technologies.
Professionals joining IBM gain exposure to enterprise-scale
AI projects across healthcare, banking, retail, manufacturing,
telecommunications, and government sectors.
Working at IBM means collaborating with global teams while
continuously learning new technologies.
Key Responsibilities
As an Artificial Intelligence Data Scientist, your daily
work will include designing intelligent systems capable of solving complex
business challenges.
Major responsibilities include:
- Designing
enterprise AI solutions
- Building
Machine Learning and Deep Learning models
- Working
with Foundation Models
- Developing
Large Language Model (LLM) applications
- Creating
NLP-based intelligent applications
- Processing
structured and unstructured datasets
- Researching
new AI technologies
- Building
production-ready AI pipelines
- Deploying
AI applications on cloud platforms
- Collaborating
with business stakeholders
- Converting
business requirements into AI-powered solutions
- Managing
complete AI project lifecycle
- Supporting
AI deployment in production environments
Required Skills
IBM is looking for experienced professionals with strong
technical expertise across multiple AI domains.
Programming Skills
- Python
- Data
Structures
- Object-Oriented
Programming
- APIs
- Automation
Machine Learning
Candidates should have practical experience with:
- Machine
Learning
- Deep
Learning
- Predictive
Analytics
- Classification
- Regression
- Recommendation
Systems
- Model
Evaluation
Artificial Intelligence
Strong understanding of:
- Large
Language Models (LLMs)
- Foundation
Models
- Generative
AI
- Prompt
Engineering
- AI
Agents
- Retrieval-Augmented
Generation (RAG)
- Cognitive
Computing
Natural Language Processing
Experience with:
- Text
Classification
- Sentiment
Analysis
- Named
Entity Recognition
- Chatbots
- Text
Summarization
- Question
Answering
- Language
Understanding
AI Frameworks
Hands-on experience with:
- TensorFlow
- PyTorch
- Keras
- Hugging
Face
Data Science Libraries
Knowledge of:
- Pandas
- NumPy
- Scikit-Learn
- Matplotlib
Cloud Platforms
Experience with cloud technologies is highly valuable.
Preferred platforms include:
- AWS
- Microsoft
Azure
- Google
Cloud Platform (GCP)
- Kubernetes
Databases
Candidates should understand:
- SQL
- PostgreSQL
- DB2
- MongoDB
- NoSQL
Databases
Version Control
Experience using:
- Git
- GitHub
- GitHub
Copilot
- Amazon
CodeWhisperer
Educational Qualification
Minimum Qualification:
- Bachelor's
Degree
Preferred Qualification:
- Master's
Degree in Computer Science
- Artificial
Intelligence
- Data
Science
- Information
Technology
- Software
Engineering
- Related
Engineering Discipline
Experience Required
IBM is seeking experienced professionals with:
- 7–9
years of relevant industry experience in Artificial Intelligence,
Machine Learning, Data Science, or Analytics.
Candidates with enterprise AI deployment experience will
have an added advantage.
Why Work at IBM?
IBM remains one of the world's leading technology and
consulting organizations.
Some benefits include:
- Global
projects
- Hybrid
work model
- Career
growth opportunities
- Continuous
learning programs
- International
collaboration
- Exposure
to enterprise AI
- Cloud
computing projects
- Modern
AI technologies
- Professional
certifications
- Inclusive
work culture
Career Growth
Joining IBM as an AI Data Scientist can open pathways toward
roles such as:
- Senior
Data Scientist
- AI
Architect
- Machine
Learning Engineer
- AI
Research Engineer
- Lead
Data Scientist
- Principal
Consultant
- AI
Solution Architect
- Analytics
Manager
- Cloud
AI Consultant
- Technical
Lead
Why This Role Is Attractive
Artificial Intelligence continues to be one of the
fastest-growing technology sectors worldwide.
Professionals with expertise in:
- Python
- Machine
Learning
- Deep
Learning
- LLMs
- Generative
AI
- NLP
- Cloud
Computing
are in exceptionally high demand across industries.
IBM's enterprise consulting environment provides
opportunities to work on large-scale AI implementations while building
expertise in emerging technologies.
Important Keywords for AI Professionals
Recruiters often search for candidates using keywords such
as:
- Artificial
Intelligence Jobs
- Data
Scientist Jobs
- IBM
Careers
- Machine
Learning Engineer
- Python
Developer
- NLP
Engineer
- LLM
Engineer
- Generative
AI Jobs
- TensorFlow
Developer
- PyTorch
Developer
- Hugging
Face
- AI
Consultant
- Cloud
AI Engineer
- Deep
Learning Engineer
- Data
Analytics Jobs
- AI
Research
- Data
Science Careers India
- Hybrid
AI Jobs
- Kochi
IT Jobs
- IBM
India Jobs
Including these skills in your resume (where genuinely
applicable) can improve visibility during recruitment.
How to Prepare and Practice After Applying
Submitting your application is only the first step. To
improve your chances during IBM's hiring process, create a structured
preparation plan.
1. Strengthen Python Skills
Practice writing clean Python code and review topics such as
object-oriented programming, data manipulation with Pandas, NumPy, exception
handling, file operations, and API integration. Solve coding challenges
regularly to improve speed and accuracy.
2. Revise Machine Learning Concepts
Refresh your understanding of supervised and unsupervised
learning, feature engineering, model evaluation metrics, cross-validation,
hyperparameter tuning, and common algorithms like Random Forest, XGBoost, SVM,
and Neural Networks.
3. Build Generative AI Projects
Create practical projects using Large Language Models
(LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and Hugging
Face transformers. Demonstrating real-world AI applications can strengthen your
portfolio.
4. Practice SQL Daily
Work on SQL queries involving joins, aggregations,
subqueries, window functions, and optimization techniques, as database
knowledge is often assessed in technical interviews.
5. Learn Cloud AI Services
Review AI-related services on AWS, Azure, or Google Cloud,
along with containerization concepts using Kubernetes and Docker.
6. Prepare for System Design Discussions
Be ready to explain how you would design scalable AI
pipelines, deploy machine learning models, monitor performance, and handle
production challenges.
7. Update Your Resume
Highlight measurable achievements, AI projects, technical
skills, certifications, cloud experience, and business impact. Tailor your
resume to match the job description while remaining truthful.
8. Practice Behavioral Interviews
IBM values collaboration, curiosity, and problem-solving.
Prepare examples using the STAR (Situation, Task, Action, Result) method to
demonstrate teamwork, leadership, innovation, and communication skills.
Consistent practice across these areas can significantly
improve your confidence and interview performance.
Final Thoughts
The IBM Data Scientist – Artificial Intelligence
position offers experienced AI professionals the opportunity to work on
enterprise-scale solutions involving machine learning, generative AI, natural
language processing, and cloud technologies. With a hybrid work model, exposure
to global consulting projects, and access to cutting-edge tools, this role is
well suited for candidates looking to advance their careers in data science and
artificial intelligence.
If your background aligns with the required experience and
technical skills, consider preparing thoroughly and submitting your application
through the official IBM careers page.
Apply Here: https://careers.ibm.com/en_US/careers/JobDetail?jobId=114156&source=WEB_Search_INDIA
