Job#: 3052100 Job Description: Hey Everyone,
Pat from Everforth here with another position for you. I am looking for an MlOps Engineer for a rolling contract role. Client is a large enterprise company so realistically will need people that have experience in that scope. Position is Remote, Rolling Contract and I can pay 70-75/hr on w2. As always my AI assistant Riley will be generating leads, but if your a slam dunk fit, send me your resume direct to .
MLOps Engineer
Location: Sunnyvale, California (Remote)
Overview
An opportunity is available for experienced MLOps Engineers to support the production, scalability, and operational excellence of enterprise advertising technology solutions. These engineers will play a role in transforming machine learning capabilities into resilient, cost-effective, multi-tenant production platforms. This position focuses on deploying, monitoring, optimizing, and maintaining machine learning systems supporting search, recommendation, forecasting, advertising optimization, and advanced analytics use cases.
Key Responsibilities
- Deploy machine learning models into scalable production environments.
- Build and maintain CI/CD pipelines for machine learning workloads.
- Partner with Data Scientists to operationalize new models and capabilities.
- Implement model serving and deployment strategies across business units.
- Design and support scalable multi-tenant machine learning infrastructure.
- Improve platform reliability, performance, and observability.
- Develop reusable deployment frameworks and infrastructure templates.
- Ensure platform consistency across regions and business domains.
- Monitor model health, performance, data quality, and system reliability.
- Establish alerting, logging, and automated remediation processes.
- Optimize infrastructure utilization and cloud spend.
- Troubleshoot production incidents and drive root-cause resolution.
- Build and optimize batch and real-time ML pipelines.
- Improve workflow orchestration and data movement processes.
- Support feature engineering pipelines and model retraining frameworks.
- Ensure reliability and scalability of production data infrastructure.
Required Qualifications
- 5+ years of experience in MLOps, Machine Learning Engineering, Data Engineering, or Platform Engineering.
- Strong Python development experience.
- Experience deploying machine learning solutions in cloud environments.
- Hands-on expertise with Google Cloud Platform, Databricks, Airflow, CI/CD pipelines, and infrastructure automation.
- Experience supporting production machine learning systems.
Preferred Qualifications
- Experience supporting search, recommendation, ranking, or advertising platforms.
- Knowledge of model monitoring and observability frameworks.
- Experience with cloud cost optimization and performance tuning.
- Experience supporting multi-tenant platforms.
- Familiarity with modern MLOps frameworks and deployment patterns.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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