MLOps Engineer

Summary

UST is a mission-driven technology company that creates transformative, human-centered solutions for clients and partners worldwide. The company is seeking an MLOps Engineer to automate ML lifecycle workflows, manage model deployment and monitoring, and establish governance and security processes for ML platforms. The role collaborates with data engineering and DevOps teams to move ML and AI solutions from proof of concept to production.

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