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ToggleTCS Walk-in Drive 2026 for ML Engineer | Hyderabad | 4th July Walk-in Interview
TCS Walk-in Drive 2026, Tata Consultancy Services (TCS) is organizing a Walk-in Drive for Machine Learning (ML) Engineers in Hyderabad on 4th July 2026 (Saturday). This hiring drive is open to experienced professionals with 6–9 years of experience in Machine Learning, Artificial Intelligence, Python, and data-driven application development. Candidates with strong expertise in building, deploying, and optimizing ML models can take advantage of this opportunity to join one of the world’s leading IT services and consulting companies.
📋 Job Overview
| Particular | Details |
|---|---|
| Company | Tata Consultancy Services (TCS) |
| Job Role | ML Engineer |
| Job Type | Full-Time |
| Walk-in Date | 4th July 2026 (Saturday) |
| Location | Hyderabad, Telangana |
| Experience | 6–9 Years |
| Qualification | Bachelor’s/Master’s Degree in Computer Science, IT, Engineering, or related field |
| Industry | IT Services & Consulting |
| Work Mode | Work From Office |
| Selection Mode | Walk-in Interview |
🏢 About Tata Consultancy Services (TCS)
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital transformation. As a part of the Tata Group, TCS operates in more than 50 countries, delivering innovative solutions across cloud computing, artificial intelligence, machine learning, cybersecurity, enterprise applications, and digital engineering. The company is recognized for its employee-friendly work culture, continuous learning programs, global career opportunities, and commitment to innovation and sustainability.
💼 Roles & Responsibilities
As an ML Engineer, you will:
- Design, develop, and deploy Machine Learning models.
- Build scalable AI and ML solutions.
- Analyze large datasets to identify business insights.
- Optimize ML algorithms for performance.
- Collaborate with software engineers and data scientists.
- Develop predictive analytics solutions.
- Monitor and improve deployed ML models.
- Prepare technical documentation.
- Participate in client discussions and project delivery.
🎓 Eligibility Criteria
Educational Qualification
- Bachelor’s or Master’s Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or related discipline.
Experience
- 6–9 years of relevant experience.
- Strong experience in Machine Learning and AI projects.
💻 Required Skills
Technical Skills
- Machine Learning
- Artificial Intelligence
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- NLP
- Deep Learning
- Data Science
- SQL
- Cloud Platforms (Preferred)
- MLOps
Soft Skills
- Communication Skills
- Analytical Thinking
- Problem Solving
- Client Interaction
- Team Collaboration
- Time Management
💰 Salary
- Competitive salary based on experience and technical expertise.
- Performance incentives and additional employee benefits.
🎁 Benefits
- Attractive Compensation Package
- Performance Bonus
- Health Insurance
- Learning & Certification Programs
- Global Project Exposure
- Career Growth Opportunities
- Employee Wellness Programs
- Hybrid Learning Environment
📄 Documents Required
Candidates should carry:
- Updated Resume
- Passport-size Photograph
- Government ID Proof
- Educational Certificates
- Experience Certificates
- Latest Salary Slips (if applicable)
📝 Selection Process
- Walk-in Registration
- Resume Screening
- Technical Interview
- Managerial Interview
- HR Discussion
- Document Verification
- Final Offer
📍 Walk-in Venue
Tata Consultancy Services (TCS)
Hyderabad, Telangana
Refer to the official walk-in notification for the exact venue and reporting time.
🌟 Why Join TCS?
- Work on cutting-edge AI and Machine Learning projects.
- Collaborate with global clients and technology experts.
- Continuous learning through TCS training platforms.
- Opportunity to earn industry-recognized certifications.
- Strong career progression and internal mobility.
- Inclusive and innovation-driven workplace.
📌 How to Attend the Walk-in Drive
- Register through the official notification if required.
- Carry all mandatory documents.
- Reach the venue on the scheduled date and time.
- Complete the interview process.
- Wait for the final selection and onboarding communication.
📢 Final Thoughts
The TCS Walk-in Drive 2026 for ML Engineers is an excellent opportunity for experienced AI and Machine Learning professionals seeking to work on enterprise-scale projects with a global technology leader. If you have expertise in Python, ML frameworks, deep learning, and data science, this walk-in drive could be your next career milestone.
Apply Online |
Click here |
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Official Notification |
Click here |
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About CompanyCocomo Limited, or TCS for short. A Fortune 500 company and one of “The World’s 100 Most Sustainable Corporations” (2012). Profile ATCS: (a) TCS is a major player in the digital transformation of many organizations globally. TCS has international reach, having established operations in gradually more than sixty countries since then; (b) TCS has an emphasis on using its own strength in technology to help organizations grow their business through technology; (c) TCS has the highest employee satisfaction rating of the 15 companies profiled by Royal Bank of Canada Small Cap (2008, 2009, and 2011); (d) TCS also emphasizes an innovative approach to developing its employees as leaders; and (e) TCS offers advanced marketplace benefits that give technology professionals ample opportunity to have successful careers. |
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| About the Author: –
Founder, AlexaHire | Career & Internship Researcher Sonu Rajput is the founder of AlexaHire, a career-focused platform helping students and freshers discover verified internships, job openings, and skill-building opportunities across India. With a strong interest in employment trends, virtual internships, fresher jobs, and skill development, Sonu researches and publishes practical content that bridges the gap between academic learning and real-world industry requirements. His work focuses on:
Sonu believes in sharing clear, updated, and trustworthy information to help learners make informed career decisions. |
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