Machine Learning Engineer

*We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure that supports scalable, secure, and production-ready AI solutions in cloud environments.*
*Type*: Contract-to-Hire (6-month initial engagement)
*Pay:* $70-75 hr/w2
*Location: *San Diego, CA (Hybrid)
*IMPORTANT: *Must be local to San Diego, CA
*Note:* Unable to support f1, stem, h1b, c2c at this time.
*Top Skills:*

* AWS MLOps (SageMaker, Lambda, Step Functions, S3)
* Python
* CI/CD Pipelines for Machine Learning Systems
* Production Machine Learning Deployments
* Model Monitoring, Observability, and Optimization
*Responsibilities:*

* Design, build, and maintain scalable machine learning pipelines supporting model training, deployment, and inference
* Develop and manage CI/CD pipelines for machine learning systems and deployment workflows
* Build Python-based tools and automation supporting ML operations and orchestration
* Implement monitoring, logging, alerting, and observability across production ML environments
* Collaborate with data scientists, cloud engineers, and application teams to productionize machine learning solutions
* Optimize infrastructure performance, reliability, security, and cloud spend across ML platforms
*Must Have:*

* Hands-on AWS MLOps experience in production environments
* Strong experience with SageMaker, Lambda, Step Functions, and S3
* Strong Python development experience for automation, orchestration, and pipeline development
* Experience building and supporting CI/CD pipelines for ML systems
* Proven experience deploying, monitoring, and maintaining machine learning models in production
* Strong troubleshooting skills across distributed cloud-based systems
*Nice to Have:*

* Infrastructure-as-Code experience (Terraform, CloudFormation, AWS CDK)
* Docker, ECS, or EKS experience
* Snowflake experience
* ML observability, model monitoring, or model versioning experience
* ML cost optimization and FinOps experience
* AWS certifications
*Why This Role:*

* Own end-to-end machine learning operations in a production environment
* Partner directly with data scientists and engineering teams on impactful AI initiatives
* Work with modern AWS technologies and cloud-native ML infrastructure
* High visibility opportunity with direct business impact
* Contract-to-hire position with long-term growth potential
*Experience Level:* Mid-Level
*Note:*

* This posting is for an existing vacancy.
*Company Benefits*
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)
*Job Type & Location*This is a Contract to Hire position based out of San Diego, CA.
*Pay and Benefits*The pay range for this position is $70.00 - $95.00/hr.
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 hybrid position in San Diego,CA.
*Application Deadline*This position is anticipated to close on Jul 16, 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


We're 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 a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. 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.