Staff MLOps Engineer

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing human capital consulting employment law compliance and employee benefits including health insurance retirement plans and workers compensation insurance.

TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If youre passionate about innovation and making an impact on the large SMB market come join us as we power our clients business success with extraordinary HR.

Dont meet every single requirement Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role ensuring we deliver outstanding results for our small and medium-size customers. So if youre excited about this role but your past experience doesnt align perfectly with every single qualification in the job description nobodys perfect and we encourage you to apply. You may just be the right candidate for this or other roles.

A Brief Overview
As a Staff MLOps Engineer you will play a pivotal role in designing implementing and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists software engineers and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models.

What you will do

• Develop manage and scale the infrastructure required for efficient and reliable machine learning model deployment including orchestration version control and monitoring systems.
• Design and implement automation pipelines for model training testing validation and deployment integrating CI/CD practices to ensure smooth and consistent delivery of ML models.
• Deploy machine learning models into production environments establishing monitoring and alerting systems to track model performance health and data drift. Proactively troubleshoot issues and optimize model efficiency.
• Collaborate with data scientists software engineers and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows.
• Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle implementing best practices for data privacy and model governance.
• Stay updated with the latest advancements in MLOps tools technologies and methodologies and propose enhancements to existing processes to improve efficiency and reliability.
• Solve complex and ambitious problems by crafting elegant and impactful solutions.
• ontributes to technical innovations along with defining coding standards
• entors and support other members of the software development team and contribute to the software development best practices.
• Performs other duties as assigned
• Complies with all policies and standards

Education Qualifications

• Bachelors Degree in Computer Science/Engineering or equivalent experience preferred

Experience Qualifications

• Typically 8 years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required
• Typically 8 years Experience with programming languages such as Python Java or similar along with experience with relevant ML frameworks (TensorFlow PyTorch etc.). required
• Experience with CI/CD pipelines version control systems (Git) and automation tools.

Skills and Abilities

• Knowledge of end-to-end SDLC process in EDW Data Lake BI & MLOps projects
• Dimensional Modeling and Data warehouse ODS concepts such as star schemas snowflakes and normalized data models
• Strong knowledge of containerization technologies (Docker Kubernetes) and cloud platforms (AWS Azure GCP).
• Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams
• Knowledge of Reporting tools like Tableau is desired
• Excellent verbal and written communication skills
• Strong Problem-solving and organizational skills and ability to work in a fast-paced collaborative environment.
• Solid understanding of machine learning concepts model development and deployment strategies.

Travel Requirements
Minimal

Work Environment

• Work in clean pleasant and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.

The preferred location for this role is Atlanta GA and the salary range for this location is $125000.00 to $275000.00. All qualified external applicants will be considered for an in-office role based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the companys discretion. The candidates final salary offer will be based on the candidates skills education work location and experience.

A candidates compensation may also include bonuses consistent with TriNets corporate bonus plan.

Additionally subject to applicable eligibility requirements TriNet offers permanent full-time employees a variety of benefits including medical dental and vision plans life and disability insurance a 401(K) savings plan an employee stock purchase plan eleven (11) Company observed holidays PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.

TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race religion color disability medical condition legally protected genetic information national origin gender sexual orientation marital status gender identity or expression sex (including pregnancy childbirth or related medical conditions) age veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.