Role description

Lead MLOps Engineer Relevant Experience: 4+ Years Industrial Experience- 7+ Years Key Responsibilities • Build, deploy, and manage end-to-end ML lifecycle pipelines.

- Automate model training, testing, deployment, and monitoring workflows.
- Implement model versioning, experiment tracking, and model registry solutions.
- Monitor model performance, drift, and operational health in production environments.
- Collaborate with Data Engineers, and DevOps teams to operationalize ML solutions.
- Establish governance, security, access control, and auditability processes for ML platforms.

Required Skills • Solid Python programming skills.

- Experience with ML lifecycle management and deployment automation.
- Hands-on expertise with: o MLflow o Kubeflow o Amazon SageMaker o AWS Step functions o ECS (Elastic Container Services) • Knowledge of Docker and Kubernetes.
- Experience with CI/CD tools and DevSecOps practices.
- Familiarity with Terraform, CloudFormation, or similar IaC tools.
- Understanding of model monitoring, observability, and performance optimization.

Preferred Skills • Hands on experience with AWS.

- Knowledge or hands on experience of Agentcore.
- Knowledge of data engineering tools such as Databricks, Spark, Airflow,



Kafka, or Snowflake.
- Understanding of Responsible AI, model governance, and compliance requirements.
- Exposure to Generative AI, LLMOps, and RAG-based solutions.

Qualifications • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

- Experience taking ML/AI solutions from Proof of Concept (PoC) to Production.
- Strong problem-solving and stakeholder management skills.

Skills

AWS, Amazon SageMaker, Observability, MLOps, AI Governance, DevSecOps, AWS Step Functions, Amazon ECS, Python

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation.

With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 Lead I - ML Ops Engineer (Hyderabad)
🏢 UST
📍 Hyderabad