ML Engineer

Role: ML Engineer
Exp: Overall 12+ Years / Above 
Client Location: Irving, TX
(Hybrid role: weekly 2-3 times has to go to onsite)
Duration: 12+ Months
Visa Status : USC,H4EAD,H1B ONLY

Top 5 Core Skills :

Real-Time Machine Learning (RTML) Model Serving
Cloud & Distributed Systems (AWS/GCP + Scalable Architecture)
Kubernetes (K8s) & Containerization
Programming (Python & Java)
MLOps / CI-CD & Production Deployment

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, 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 methods
Basic understanding of RT Feature Engineering methodology and practices