MLOps Engineer

Vestas; Chennai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Vestas India (Bangalore or Chennai) is seeking a skilled Data & AI Platform Engineer to build and operate ML, GenAI, and LLM services at scale. You will develop platform features, pipelines, and reliable environments in collaboration with the Data & AI team.

You will apply MLOps, CI/CD for ML, Terraform, Docker/Kubernetes, and Azure OpenAI to deliver actionable insights. A strong Python/SQL background and Spark experience are preferred to collaborate with a global cross-functional team.

Qualifications

• Master's or Bachelor's in engineering / IT.
• 3+ years designing and building complex data or ML platforms.
• Experience with MLOps and production ML model lifecycle.
• CI/CD pipelines for ML and software delivery.
• Containers and orchestration: Docker and Kubernetes.
• Infrastructure as code: Terraform.
• ML platforms/tools such as MLflow, Databricks, Dataiku, or similar.
• Experience with cloud Azure and GenAI/LLM platforms is a plus.

Responsibilities

• Develop and improve platform features for ML/AI lifecycle management and LLM ops.
• Build and maintain CI/CD pipelines for ML, AI, and LLM workflows.
• Ensure reliable, scalable, and secure production environments for ML/AI workloads.
• Automate infrastructure provisioning using infrastructure-as-code.
• Operate and monitor ML/AI/LLM services and platform components.
• Perform root cause analysis, debugging and remediation.
• Support data platform users with ML/AI data ingestion and processing.
• Collaborate with platform teams on architecture and reliability.

Skills

ML platform design

MLOps

Python

SQL

Docker

Kubernetes

Terraform

Databricks

MLflow

Airflow

Kestra

Azure OpenAI

GenAI

LLM apps

Spark

Education

Master's / Bachelor's in Engineering / IT

Tools

Docker

Kubernetes

Terraform

Databricks

MLflow

Airflow

Kestra

Azure OpenAI

Job description

Job Description:

Vestas is well-known in wind technology and actively contributes to its development. Vestas’ core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at Vestas!

Data, Software & AI Platform > Data, Software & AI Platform - People and Competency > Software Engineering #1

The Data & AI team, a vital part of Digital Solutions, is dedicated to delivering accurate, available, and comprehensive data and AI products that enable actionable insights. This includes developing and operationalizing machine learning models, generative AI solutions, and large language model (LLM) applications at scale. The team is an integral part of Vestas' innovative Digital Powerhouse. Our mission is to empower customers, partners, and colleagues to seamlessly discover, access, and connect essential information for informed decisions and impactful actions.

Responsibilities

• Develop and improve platform features that support ML and AI lifecycle management, including LLM operations
• Build and maintain CI/CD pipelines for ML, AI, and LLM workflows, training, deployment, and monitoring
• Support reliable, scalable, and secure production environments for ML, AI, and GenAI workloads
• Automate infrastructure and environment provisioning using infrastructure-as-code
• Operate and monitor ML, AI, and LLM services and related platform components
• Perform root cause analysis, troubleshooting, and bug fixing
• Support data platform users with ML, AI, data ingestion, and processing workloads
• Collaborate with the platform team on architecture, reliability, and optimization
• Contribute to other platform areas as needed, depending on priorities and skills

Qualifications

• Master's / Bachelor's in any engineering / Software / Information Technology / Similar engineering specialization
• 3+ years of experience in designing and building complex data or ML platforms
• Experience with MLOps practices and the ML model lifecycle in production
• Experience with CI/CD pipelines for ML and software delivery
• Experience with containers and orchestration, such as Docker and Kubernetes
• Experience with infrastructure as code, such as Terraform
• Experience with ML platforms and tooling such as MLflow, Databricks, Dataiku, or similar
• Preferably experience with workflow orchestration tools such as Kestra, Airflow, or similar
• Preferably experience with Azure OpenAI, Foundry, Cortex, or similar GenAI/LLM platforms
• Preferably experience deploying and managing LLM applications and vector databases
• Experience with cloud environments, particularly Microsoft Azure
• Experience with data warehousing, data processing, or streaming technologies
• Strong experience in root cause analysis, troubleshooting, and operational support
• Strong skills in SQL, Python, and/or other relevant programming languages
• Preferably experience with distributed compute frameworks such as Apache Spark

Competencies

• Collaborative and open-minded, and enjoy working in a global cross-functional team
• Curious and passionate about building value-creating and innovative solutions
• Comfortable in a changing environment with a flexible mindset
• Strong in communication and proactive in problem-solving
• Eager to learn and contribute to the team's shared success

What We Offer

You will join a dedicated and passionate team committed to supporting the business through the development and scaling of our data, ML, and AI platforms. You will work in an environment that supports continuous learning, professional growth, and agile ways of working. While we hold high standards for collaboration, accountability, and delivery, we also support one another and celebrate both successes and shared challenges.

Additional Information

Your primary workplace will be Vestas India (Bangalore Or Chennai).

Our commitment to a fair hiring

At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.

DEIB Statement

At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

About Vestas

Vestas is the energy industry’s global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore.

Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 185 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field.

With 30,000 employees globally, we are a diverse team united by a common goal: to power the solution – today, tomorrow, and far into the future.

Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity.

To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.