Predactica, an AI/ML startup company based in Dallas is looking for a Senior Real-time Machine Learning engineer to support its client's solution.

Job Responsibilities

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You will join mission critical Real Time ML Service team working on RTML Model Serving Framework. This framework supports real time AI models in the production - enabling 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

criterions.

Working closely with other teams to define technical strategy, architecture, development choices and ensure

overall growth of the Framework to meet customers’ needs.

Leading 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.

Skills Required

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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, GCP 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 method
Basic understanding of RT Feature Engineering methodology and practices

Good to have Skills

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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.

Predactica™

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Realtime Machine Learning Engineer