Machine Learning Engineer (W2 Requirement)

Role: ML Engineer (W2 Requirement)

Location: Irving, TX(Hybrid)

Duration: 12+ Months

What you will be doing:

You will join Client’s mission critical Real Time ML Service team working on our RTML Model Serving Framework (codename Jarvis). This is a fundamental team in Client’s AI Center, and Jarvis RTML Framework serves all real time AI models in the production - enabling our business organizations to maximize the benefits of using AI-driven solutions for our customers.

As a Principle ML Engineer, you will be

• Functioning as a domain expert in the area of RTML model serving technology, familiar with the industrial trends in RTML, common RTML architectures, leading 3rd-party RTML serving products, and evaluation criterias
• Working closely with other teams to define technical strategy, architecture, development choices and ensure overall growth of the Jarvis Framework to meet our internal customers’ needs.
• Leading the Jarvis development activities through phased releases, ensuring it is architecturally sound, implemented correctly/efficiently, and delivered on time.
• Supporting internal customers with major framework issues and coordinating triage efforts to solve them.
• Lead and mentor junior developers in the team and always pushing for team successes.
• Adhering to industry standards and best practices and tracking emerging RTML technologies and trends to continuously improve the Jarvis framework.

What are we looking for:

You enjoy keeping yourself up-to-date on the latest RTML Engineering technologies and trends and using that knowledge to find innovative solutions to complex issues. With strong written and verbal communication abilities, you’re able to cut through technical jargon to describe complex concepts in a way everyone can understand. People know you for your strong RTML domain expertise and the way you collaborate with the team members to tackle challenging problems. No stranger to working in a fast-paced environment, you convey a sense of urgency and manage multiple competing priorities with ease, never missing a deadline.

Required Skills:

• Bachelor’s degree or above in Computer Science/Engineering or other related areas.
• Four or more years of work experience in computer software development related jobs.
• At least two years are in AI / ML Engineering areas with reasonably good understanding of Data Science and AIML practices/workflows.
• Strong expertise in RTML model serving arena and/or large scale cloud-based RT framework development.
• Experience with programming languages such as Python and Java.
• Experience in large application development in cloud environments - AWS, Google Cloud Platform and On-Prem clusters.
• Experience in K8s architecture and principle of operations, hands-on skills of deploying large applications in production K8s cluster, configuring K8s properly, and troubleshooting when the application has issues.
• Good understanding of of RT system stats collection and performance monitoring methods
• Basic understanding of RT Feature Engineering methodology and practices
• Real Time Machine Learning (RTML)

Even better if you have one or more of the following:

• Understand basic data science concepts and common needs from data scientists.
• Strong collaboration skills and communication skills, especially when involving (non-tech) business stakeholders.
• Experience with cloud infrastructures and MLOps in clouds.
• Familiar with CI/CD process and common frameworks such as ArgoCD.