# MLOps Engineer at Vestas

Vestas is hiring a MLOps Engineer in Chennai, United States. Level rates it Builds AI ●●●●; you can [apply on Vestas](https://jobsbylevel.com/go/8c432756-8e11-496c-b393-929a8ceacc02?utm_medium=ai-agent).

AI Level 4, AI centrality 86 out of 100. Chennai, TN.

## Details

- Company: [Vestas](https://jobsbylevel.com/companies/vestas)
- AI level: AI Level 4 (score 86 out of 100)
- Location: Chennai, TN
- Posted: July 11, 2026
- Apply: https://jobsbylevel.com/go/8c432756-8e11-496c-b393-929a8ceacc02?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=mlops-engineer-at-vestas-4cb1b9

## Prepare for this job

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## 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). Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including before the advertised closing date. Please be advised to apply on or before 30th November 2026. Our commitment to a

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