Model Governance Engineer

TEKsystems; Atlanta (GA); On-site; USD 76,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental & vision

401(k)

Life Insurance

Disability insurance

HSA

Transit benefits

PTO

Job summary

TEKsystems in Atlanta is seeking a senior Model Governance Engineer to lead neural network modeling and enterprise‑wide governance for AI. This fully remote contract‑to‑hire role offers EST hours (9–5) and sits with linking and governance teams.

You will design governance frameworks, run model validation, monitor performance and bias, and develop dashboards and regulatory artifacts. You will collaborate with data scientists, software engineers, and business stakeholders to embed governance

Qualifications

• Bachelor’s or Master’s degree in CS/DS/Statistics/Math/ML/Engineering.
• 10+ years of experience in machine learning, data science, analytics, model development, model validation, or AI governance.
• Strong knowledge of neural network models, machine learning algorithms, statistical modeling techniques, predictive analytics, and AI systems.
• Experience establishing or operating model governance, model risk management, AI governance, or Responsible AI programs.
• Strong knowledge of model validation methodologies, performance measurement, drift detection, bias assessment, and explainability techniques.
• Experience with cloud-based platforms including Azure, Databricks, Spark, Cosmos DB, and large-scale data processing technologies.
• Hands-on experience with Java, Python, SQL, machine learning frameworks, and data analysis tools.
• Experience developing dashboards and automated monitoring solutions for model performance and governance metrics.
• Strong communication and presentation skills, with the ability to explain complex model behavior and governance findings to both technical and non-technical audiences.

Responsibilities

• Design and maintain neural network models and enterprise-wide model governance frameworks, standards, and controls for machine learning and linking solutions.
• Lead model validation and review activities, including performance assessment, precision analysis, explainability evaluation, bias testing, and risk identification.
• Establish and monitor model lifecycle processes covering development, testing, deployment, monitoring, retraining, and retirement.
• Develop governance metrics, dashboards, and reporting to provide visibility into model performance, drift, risk exposure, and business impact.
• Partner with data scientists, software engineers, architects, and business stakeholders to ensure governance requirements are embedded throughout the model development lifecycle.
• Create and maintain model documentation, validation reports, audit artifacts, governance approvals, and regulatory evidence.
• Evaluate model performance using statistical analysis, precision and recall measurements, confidence scoring, explainability techniques, and business outcome monitoring.
• Lead investigations into model degradation, unexpected behavior, accuracy declines, and governance exceptions, recommending mitigation strategies and corrective actions.
• Establish controls and monitoring processes to identify data drift, concept drift, and operational risks affecting model quality.
• Communicate governance findings, model risks, validation outcomes, and recommendations to technical teams, executive leadership, auditors, and business stakeholders.
• Drive continuous improvement of model governance processes, tools, standards, and best practices across the organization.

Skills

Data science

Statistics

Machine learning

Azure

Databricks

Java

AI

Education

Bachelor’s or Master’s degree in CS/DS/Statistics/Math/ML/Engineering

Tools

Python

SQL

Spark

Cosmos DB

Job description

Top Skills' Details

Data Science and Machine Learning

Azure

Databricks

Java

Governance

Description

This role is a Software Engineer II titled as a Model Governance Engineer. They are looking for someone with a background in statistics and math as they are doing model development around neural network models as well as governance oversight.

Our clients linking team is responsible for linking billions of public and proprietary records to create a unique entity identifier for consumers, organizations, and providers. We are looking for an experienced, smart, driven individual who will help us build and deliver enterprise-wide big data linking solutions by resolving complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical, and technical skills. This includes analyzing and linking large data problems using various statistical techniques, developing data models, implementing solutions, and providing support.

Basic Functions: This position provides technical leadership for building neural network models and governance oversight for machine learning and linking solutions across the enterprise. The engineer develops neural network model governance frameworks, builds explainability capabilities, leads model reviews and validations, collaborates with engineering and data science teams, and ensures compliance with enterprise AI policies and industry standards. The position serves as a senior subject matter expert on linking models, explainability, monitoring, performance assessment, and governance.

Accountabilities

Design, implement, and maintain neural network models and enterprise-wide model governance frameworks, standards, and controls for machine learning and linking solutions.

Lead model validation and review activities, including performance assessment, precision analysis, explainability evaluation, bias testing, and risk identification.

Establish and monitor model lifecycle processes covering development, testing, deployment, monitoring, retraining, and retirement.

Develop governance metrics, dashboards, and reporting to provide visibility into model performance, drift, risk exposure, and business impact.

Partner with data scientists, software engineers, architects, and business stakeholders to ensure governance requirements are embedded throughout the model development lifecycle.

Create and maintain model documentation, validation reports, audit artifacts, governance approvals, and regulatory evidence.

Evaluate model performance using statistical analysis, precision and recall measurements, confidence scoring, explainability techniques, and business outcome monitoring.

Lead investigations into model degradation, unexpected behavior, accuracy declines, and governance exceptions, recommending mitigation strategies and corrective actions.

Establish controls and monitoring processes to identify data drift, concept drift, and operational risks affecting model quality.

Communicate governance findings, model risks, validation outcomes, and recommendations to technical teams, executive leadership, auditors, and business stakeholders.

Drive continuous improvement of model governance processes, tools, standards, and best practices across the organization.

Required Qualifications

Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Machine Learning, Engineering, or a related technical discipline.

10+ years of experience in machine learning, data science, analytics, model development, model validation, or AI governance.

Strong understanding of neural network models, machine learning algorithms, statistical modeling techniques, predictive analytics, and AI systems.

Experience establishing or operating model governance, model risk management, AI governance, or Responsible AI programs.

Strong knowledge of model validation methodologies, performance measurement, drift detection, bias assessment, and explainability techniques.

Experience with cloud-based platforms including Azure, Databricks, Spark, Cosmos DB, and large-scale data processing technologies.

Hands-on experience with Java, Python, SQL, machine learning frameworks, and data analysis tools.

Experience developing dashboards and automated monitoring solutions for model performance and governance metrics.

Strong analytical and problem-solving skills with the ability to evaluate complex technical and business risks.

Strong communication and presentation skills, with the ability to explain complex model behavior and governance findings to both technical and non-technical audiences.

Ability to influence technical direction, governance strategy, and enterprise decision-making across multiple organizations.

Skills

Data science, Statistics, Machine learning, Azure, Databricks, Java, AI

Top Skills Details

Data science,Statistics,Machine learning,Azure,Databricks,Java,AI

Additional Skills & Qualifications

Analytical mindset

***This is a remote position and can sit anywhere but work EST hours from 9-5.

Experience Level

Intermediate Level

Job Type & Location

This is a Contract to Hire position based out of Atlanta, GA.

Pay and Benefits

The pay range for this position is $55.00 - $65.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical
• dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 7, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.