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Job Overview
| Company | TCS (Tata Consultancy Services) |
|---|---|
| Program | TCS iON AI Careers |
| Roles | AI Engineer, Data Scientist, ML Engineer, Data Analyst |
| Qualification | B.E / B.Tech / M.E / M.Tech / MCA / MSc or related fields |
| Experience | Freshers / Experienced |
| Job Location | Pan India |
| Work Mode | Hybrid / Office |
| Job Type | Full Time |
| Salary | ₹7 LPA – ₹12 LPA (Expected based on AI/Data roles) |
| Application Mode | Online (TCS iON Portal) |
About Company
Tata Consultancy Services (TCS) is one of the world’s leading IT services, consulting, and business solutions organizations. With a global presence in over 50 countries, TCS delivers innovative solutions across industries such as banking, healthcare, retail, and manufacturing.
TCS is currently focusing heavily on Artificial Intelligence, Data Analytics, and Digital Transformation, helping businesses evolve into intelligent enterprises powered by data and automation.
The company aims to become a leading AI-driven technology organization, creating opportunities for professionals to work on cutting-edge technologies and global projects.
About TCS iON AI Careers
TCS iON AI Careers is a hiring and skill-based initiative that connects candidates with opportunities in AI, Data Science, and Analytics roles.
Through this platform:
Candidates can explore AI-based career opportunities
Apply for multiple roles across domains
Get matched with jobs using AI-based skill mapping
Access learning and job readiness programs
TCS iON also provides access to 1.6L+ job opportunities across IT and non-IT domains, helping candidates find roles that match their skills and career goals.
Available Roles
Candidates can apply for various high-demand AI and data-related roles such as:
Data Scientist
Machine Learning Engineer
AI Engineer
Data Analyst
Cloud Data Engineer
AI Architect / BI Architect
These roles are part of TCS’s strategic AI and Data hiring initiatives aimed at building next-generation technology solutions.
Detailed Responsibilities
Responsibilities may vary depending on the role, but generally include:
Develop AI and machine learning models for business solutions
Work on data analysis, data engineering, and visualization
Build and deploy scalable AI systems
Collaborate with cross-functional teams and clients
Use advanced tools for data processing and automation
Contribute to digital transformation and AI-driven projects
Eligibility Criteria
Candidates applying for this program should meet the following criteria:
Degree in Engineering, Computer Science, IT, or related field
Strong understanding of programming (Python, Java, etc.)
Knowledge of data structures, algorithms, and analytics concepts
Interest or experience in AI, ML, or Data Science
Freshers and experienced candidates can apply
Skills Required
Applicants should possess:
Programming skills (Python, R, Java)
Knowledge of Machine Learning and AI concepts
Data analysis and problem-solving ability
Understanding of cloud and big data technologies
Strong analytical and logical thinking
Communication and teamwork skills
Selection Process
| Stage | Process |
|---|---|
| Stage 1 | Online Registration |
| Stage 2 | Assessment / Test |
| Stage 3 | Technical Interview |
| Stage 4 | HR Interview |
Salary & Benefits
TCS offers competitive compensation for AI and Data roles.
Benefits may include:
Salary range between ₹7 LPA – ₹12 LPA (depending on role & experience)
Learning and certification programs in AI and Data
Exposure to global enterprise projects
Career growth and internal mobility
Work with cutting-edge technologies
TCS entry-level hiring programs can go even higher depending on performance and role category.
How to Apply
Follow these steps:
Visit the TCS iON AI Careers portal.
Register with your email ID and create a profile.
Explore available roles and select relevant positions.
Upload your updated resume.
Complete the application and assessment process.
Register HERE
Resume Tips
Highlight projects in AI, Machine Learning, or Data Analytics
Mention programming languages and tools used
Include certifications related to AI, Data Science, Cloud
Keep your resume ATS-friendly and concise
Interview Tips
Prepare basics of Data Structures, Algorithms, and ML concepts
Practice coding problems and case studies
Be ready to explain your projects clearly
Demonstrate problem-solving and analytical thinking
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