MLOps Engineer

Summary

UST is a mission-driven technology company that creates transformative experiences and human-centered solutions for clients and partners worldwide. The company is seeking an MLOps Engineer / ML Engineer I to automate and manage machine learning lifecycle, deployment, monitoring, versioning, and governance workflows. The role collaborates with data engineering and DevOps teams to operationalize secure, observable ML platforms.

Responsibilities

• 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

Skills

• **You Are:** UST is searching for an MLOps Engineer with experience with ML lifecycle management and deployment automation
• ·       Strong Python programming skills
• ·       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

Qualifications

Must Haves

• **You Are:** UST is searching for an MLOps Engineer with experience with ML lifecycle management and deployment automation
• ·       Strong Python programming skills
• ·       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

Nice to Haves

• ·       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

Benefits

• Full-time, regular employees accrue a minimum of 10 days of paid vacation per year
• Full-time, regular employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• 10 paid holidays
• Paid bereavement leave and jury duty for eligible full-time, regular employees
• Eligibility to participate in the Company’s 401(k) Retirement Plan with employer matching for full-time, regular employees
• Medical, dental, and vision insurance for full-time, regular employees and their dependents residing in the US
• Company-paid basic life insurance for full-time, regular employees
• Company-paid accidental death and disability insurance for full-time, regular employees
• Company-paid short- and long-term disability benefits for full-time, regular employees
• Option for regular employees to purchase additional voluntary short-term disability benefits
• Health Savings Account (HSA) participation for regular employees
• Flexible Spending Account (FSA) participation for regular employees for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines
• Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• Full-time temporary employees are eligible to participate in the Company’s 401(k) program with employer matching
• Medical, dental, and vision insurance for full-time temporary employees and their dependents residing in the US
• Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• Part-time employees are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching
• Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year)
• All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws