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. • Robust 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 Engineering Ml Ops , Agentic Ai And Aws Hyderabad
🏢 UST
📍 Hyderabad