Job Description
Summary
Tata Consultancy Services (TCS) is hiring an experienced MLOps/LLMOps Consultant in Chennai to drive AI and machine learning deployment, Generative AI-based applications, and cloud infrastructure solutions. The ideal candidate will have strong expertise in CI/CD pipelines, AI/ML model operationalization, and LLM deployment frameworks, enabling TCS to deliver scalable, secure, and efficient AI solutions for enterprise clients. This role combines hands-on technical expertise, cloud deployment experience, and strategic AI/ML knowledge, making it a perfect opportunity for professionals aiming to advance their careers in AI and machine learning operations.
Job Details at a Glance
| Title | MLOps / LLMOps Consultant |
|---|---|
| Company | Tata Consultancy Services (TCS) |
| Location | Chennai, India |
| Experience | 10 – 16 years |
| Shift | Day Shift |
| Function | Technology |
| Role | Consultant |
| Apply By | 31-Dec-2025 |
Key Responsibilities
1. AI/ML Deployment
- Lead MLOps and LLMOps initiatives, operationalizing machine learning and Generative AI models.
- Deploy and manage Generative AI-based applications, ensuring performance, scalability, and reliability.
- Collaborate with AI/ML development teams to integrate models into enterprise environments.
2. CI/CD & Automation
- Implement and manage CI/CD pipelines for AI/ML workloads.
- Automate deployment, testing, and monitoring of ML models and LLM solutions.
- Ensure reproducibility and version control of AI/ML artifacts across environments.
3. Cloud Infrastructure & Scalability
- Work with cloud platforms (AWS, Azure, GCP) to deploy and maintain AI/ML solutions.
- Optimize cloud infrastructure for large-scale AI workloads, including storage, compute, and networking.
- Ensure secure and compliant deployment of AI/ML pipelines in production.
4. Collaboration & Stakeholder Engagement
- Partner with business and technical stakeholders to understand deployment requirements.
- Provide guidance on best practices for AI/ML operationalization and model lifecycle management.
- Mentor junior consultants on MLOps/LLMOps frameworks and cloud AI deployment strategies.
Skills & Expertise
- Strong hands-on experience in MLOps, LLMOps, AI/ML deployment, and Generative AI applications.
- Expertise in CI/CD processes, automation, and AI/ML lifecycle management.
- Proficiency with cloud platforms (AWS, Azure, GCP) and cloud AI services.
- Knowledge of AI/ML model monitoring, scaling, and security best practices.
- Ability to translate business requirements into scalable AI/ML solutions.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI/ML, or related fields.
- 10-16 years of relevant experience in AI/ML operations, MLOps, and cloud-based model deployment.
- Hands-on experience with Generative AI platforms, LLMs, and enterprise AI infrastructure.
Why Join TCS as an MLOps / LLMOps Consultant
- Lead enterprise AI and Generative AI deployment projects.
- Collaborate with global AI teams to deliver innovative, scalable solutions.
- Gain exposure to cloud AI architectures, CI/CD pipelines, and LLMOps frameworks.
- Mentor teams and shape AI/ML operational excellence within TCS.
Apply Now
https://ibegin.tcsapps.com/candidate/jobs/371225JAdvance your career as an MLOps / LLMOps Consultant at TCS Chennai. Apply directly through the TCS Careers Portal and join a leading technology team driving AI innovation and deployment excellence.