Model Drift Engineer Jobs

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Today

AI Engineer

University of Texas at Austin Austin, TX

Austin, TX

Today

$90k+/yr Full time Artificial Intelligence Data Science DevOps

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Job Description

Support production machine learning operations in a healthcare environment by building scalable, secure, and reliable MLOps infrastructure.

Develop and refine ML deployment pipelines and workflows for production-grade ML lifecycle governance and management
Implement lifecycle governance standards covering versioning and reproducibility
Optimize workflows for scalability and reliability
Build and maintain monitoring systems to assess model performance, reliability, and drift proactively
Detect and report model drift and anomalies
Create dashboards and alerts for stakeholders
Collaborate cross-functionally with data scientists, software engineers, and DevOps teams to translate model needs into operational solutions
Coordinate integrations with APIs and application workflows
Participate in code reviews and design sessions
Design and automate retraining, validation, and deployment processes to maintain accuracy and responsiveness
Implement pre-deployment checks
Schedule retraining jobs based on triggers
Apply healthcare data governance and security protocols for regulatory compliance
Implement access controls and encryption for ML systems
Support compliance audits and documentation
Configure and optimize cloud infrastructure for ML workloads, balancing performance and cost-efficiency
Tune resource allocation to manage cost and performance
Monitor infrastructure utilization and scaling needs
Contribute to technical documentation, process improvement, and knowledge sharing
Maintain documentation for ML workflows
Share best practices and lessons learned
Support proof-of-concept evaluations for new MLOps tools
Participate in post-mortem reviews for ML pipeline incidents
Update model documentation and compliance records on a periodic basis
Adhere to internal controls and reporting structure
Perform related duties as required

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
Minimum 2 years of relevant experience
Relevant education and experience may be substituted as appropriate

Technologies

MLOps
CI/CD
Cloud infrastructure
Container orchestration

Preferred Qualifications

3+ years of experience in MLOps, DevOps, or ML engineering
Experience in healthcare or regulated environments

Working Conditions

Standard office equipment
Repetitive use of a keyboard
May be exposed to occupational hazards such as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications, and disoriented or combative patients, or others

Additional Requirements and Screening

Resume/CV
3 work references with contact information (at least one reference from a supervisor)
Letter of interest
Background check: a criminal history background check will be required for finalist(s)

Employment Eligibility and Compliance

Regular staff employed in their current position for the last six continuous months are eligible for openings through University-Wide or Open Recruiting, including promotional opportunities and lateral transfers
Promotion/transfer eligible staff may apply for positions without supervisor approval
Retirement plan: Teacher Retirement System of Texas (TRS), subject to at least 20 hours per week and at least 135 days in length
Upon hire, complete the federal Employment Eligibility Verification I-9 and provide acceptable, original documents to prove identity and work authorization by the third day of employment
E-Verify: used for work authorization checks effective May 2015; company ID number: 854197
Employees may be required to report violations of law under Title IX and the Jeanne Clery Act (Clery Act)
If identified as a Campus Security Authority (Clery Act), the employee will be notified and provided resources for reporting
Title IX responsibilities are defined and outlined in HOP-3031
The Clery Act requires prospective employees to be notified of the availability of the Annual Security and Fire Safety report

Location: Austin, TX (onsite)

Compensation: USD 89,946 per yearly

Education level: Bachelor’s degree (or related field)

Experience level: 2+ years relevant experience

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