INDIAN JOB HUB

Connecting Talent with Opportunity

INDIAN JOB HUB

Connecting Talent with Opportunity

MLOps & LLMOps Consultant Jobs in Chennai | AI/ML Deployment & Generative AI Careers
Full time jobsLatest Private jobsTCS

MLOps & LLMOps Consultant Jobs in Chennai | AI/ML Deployment & Generative AI Careers

Indianjobhub

MLOps/LLMOps Consultant Jobs in Chennai – Driving AI/ML Deployment and Generative AI Innovation

The world of artificial intelligence and machine learning is rapidly evolving, reshaping industries, and creating new opportunities for professionals with deep technical expertise. Among the emerging roles that stand at the intersection of technology, deployment, and operations is that of the MLOps/LLMOps Consultant.

For experienced professionals with 10 to 16 years of expertise in AI/ML deployment, cloud infrastructure, and CI/CD pipelines, an exciting opportunity is available in Chennai. This role offers the chance to lead cutting-edge projects in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), ensuring organizations can efficiently deploy, scale, and manage advanced AI/ML solutions.

About the Role: MLOps/LLMOps Consultant

As an MLOps/LLMOps Consultant, you will be responsible for designing, implementing, and optimizing the deployment of AI and ML systems, including applications powered by generative AI and large language models. This role combines technical expertise, cloud knowledge, and operational best practices to ensure seamless integration of machine learning models into production environments.

The consultant will act as a bridge between data science, development, and operations teams, ensuring that machine learning innovations translate into reliable, scalable, and secure business applications.

Key Responsibilities

The scope of an MLOps/LLMOps Consultant is diverse, requiring mastery of AI/ML engineering, CI/CD automation, and cloud deployment strategies.

1. AI/ML Deployment

  • Design and manage scalable machine learning pipelines.

  • Ensure successful deployment of AI/ML models into production environments.

  • Optimize model performance through monitoring, retraining, and lifecycle management.

2. Generative AI Applications

  • Deploy and manage large language models (LLMs) and generative AI-based solutions.

  • Ensure performance optimization, cost efficiency, and security compliance for LLM applications.

  • Work with stakeholders to integrate generative AI tools into business workflows.

3. CI/CD and Automation

  • Develop and maintain robust continuous integration and continuous deployment (CI/CD) pipelines.

  • Automate model deployment processes to minimize manual intervention.

  • Ensure rapid, reliable, and repeatable deployments across environments.

4. Cloud Infrastructure Management

  • Work extensively with cloud platforms (AWS, Azure, GCP) to support AI/ML workloads.

  • Manage infrastructure-as-code (IaC) deployments using tools such as Terraform or CloudFormation.

  • Ensure cost-effective scaling of ML workloads in the cloud.

5. Collaboration and Consultation

  • Collaborate with data scientists, ML engineers, and DevOps teams to align workflows.

  • Provide consultation to clients on best practices in MLOps and LLMOps strategies.

  • Drive adoption of emerging technologies and frameworks in machine learning operations.

Desired Skills and Expertise

The ideal candidate for this role should have a blend of technical proficiency, operational expertise, and strategic consulting abilities.

  • Proven experience in AI/ML deployment across large-scale projects.

  • Strong understanding of generative AI applications and LLMOps frameworks.

  • Expertise in CI/CD pipelines for machine learning workflows.

  • Good knowledge of AI/ML model development and lifecycle management.

  • Hands-on experience in cloud infrastructure with exposure to tools for scaling ML systems.

  • Familiarity with monitoring, logging, and observability solutions for AI/ML systems.

Qualifications

  • Bachelor of Engineering (B.E.) or equivalent degree in Computer Science, Information Technology, or a related field.

  • Additional certifications in cloud platforms (AWS, Azure, GCP), MLOps tools, or AI/ML engineering are highly desirable.

Why Choose a Career in MLOps/LLMOps?

The emergence of MLOps and LLMOps reflects the growing need for organizations to move beyond experimental AI projects and adopt scalable, production-ready systems. As AI models—especially large language models—become increasingly complex, businesses require specialized consultants who can ensure reliability, efficiency, and governance in deployment.

Key Reasons This Career Stands Out:

  1. High Demand for Expertise – With AI adoption accelerating, skilled consultants are among the most sought-after professionals.

  2. Cutting-Edge Technology – Work with generative AI, large language models, and advanced cloud infrastructure.

  3. Cross-Functional Collaboration – Partner with teams across data science, engineering, and business units.

  4. Strategic Impact – Ensure AI initiatives deliver measurable outcomes and support business transformation.

Location Advantage: Chennai

Chennai is quickly becoming a hub for AI, cloud computing, and enterprise technology services. Known for its robust IT infrastructure and skilled workforce, the city offers an excellent environment for technology consultants to thrive.

By working as an MLOps/LLMOps Consultant in Chennai, professionals can gain exposure to global clients, participate in advanced AI projects, and collaborate with top talent in the industry.

What Makes a Successful MLOps/LLMOps Consultant?

Success in this role goes beyond technical expertise. The most effective consultants possess:

  1. Problem-Solving Mindset

    • Ability to troubleshoot deployment issues and anticipate operational challenges.

  2. Collaboration Skills

    • Strong interpersonal abilities to work with diverse teams and stakeholders.

  3. Continuous Learning

    • Staying updated with evolving AI/ML frameworks, cloud tools, and generative AI advancements.

  4. Operational Excellence

    • Designing efficient, reliable, and secure pipelines for model deployment.

  5. Strategic Vision

    • Helping organizations align AI/ML operations with broader business goals.

Career Growth Path

Professionals starting as MLOps/LLMOps Consultants can advance toward senior leadership positions, including:

  • AI/ML Solutions Architect

  • Head of AI Engineering

  • Cloud AI Consultant

  • Director of Machine Learning Operations

  • Chief AI Officer (CAIO)

The field also provides opportunities for international consulting, industry recognition, and thought leadership in AI deployment strategies.

Application Details

  • Job Title: MLOps/LLMOps Consultant

  • Location: Chennai

  • Experience Required: 10–16 Years

  • Job Function: Technology

  • Role: Consultant

  • Application Deadline: 30th September 2025

  • Desired Skills: Machine Learning, MLOps, LLMOps, Generative AI, CI/CD, Cloud Infrastructure

Conclusion

The role of an MLOps/LLMOps Consultant in Chennai offers a unique opportunity to lead at the forefront of AI and machine learning deployment. With responsibilities spanning generative AI, cloud infrastructure, CI/CD automation, and ML lifecycle management, this position is ideal for seasoned professionals ready to influence the future of AI operations.

For those passionate about combining technical expertise with strategic consulting, this role not only provides career growth but also the chance to shape how organizations harness the power of AI and LLMs.

If you are a forward-thinking professional with a strong foundation in AI/ML deployment and a vision for innovation, this is the perfect opportunity to elevate your career.

Apply Here

Leave a Reply

Your email address will not be published. Required fields are marked *