MLOps Engineer / MLOps Specialist

UST is a mission-driven technology company that delivers innovative, human-centered solutions for clients worldwide. The company is seeking an MLOps Engineer / MLOps Specialist to automate model training, testing, deployment, and monitoring workflows. The role focuses on ML lifecycle management, production model observability, cross-functional collaboration, and governance of ML platforms.

Responsibilities:

• 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

Requirements:

• ·       Strong 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
• ·       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
• ·       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