MLOps Engineer

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries.

About the role

UST is searching for an MLOps Engineer with experience in ML lifecycle management and deployment automation. This role involves automating model training, testing, deployment, and monitoring workflows, as well as collaborating with Data Engineers and DevOps teams to operationalize ML solutions.

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.

Requirements

• Strong Python programming skills.
• Hands-on expertise with:
  • MLflow
  • Kubeflow
  • Amazon SageMaker
  • AWS Step Functions
  • 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 with 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.

Pay

Compensation range for this role in the U.S. market: $72,000–$108,000.

Benefits

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