MLOps Engineer

Tri Net 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.

Tri Net has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re 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.

Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. Tri Net 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 you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect – and we encourage you to apply.

You may just be the right candidate for this or other roles.

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.

• 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 Dev Ops 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.
• on tributes 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

• Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred

• Typically 8+ years Proven experience working in a similar MLOps or Dev Ops 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 (Tensor Flow, PyTorch, etc.). required
• Experience with CI/CD pipelines, version control…