DevOps Engineer: 

You would work on the new ML and AI platform involving several Sprint teams around the new AI/ML product. We are looking for experts: DevOps Engineer or MLOps Engineer.

Job Responsibilities:

• Platform Ops 70% / coding (platform automation) 30%
• Participate in the development of highly scalable platforms for extracting, analyzing, and processing large amounts of contextual data from a plethora of sources, both in real-time and in batch modes.
• Working closely with other engineers and scientists, develop solutions to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.

Basic Qualifications:

• 7+ years of hands-on experience deploying the platforms or software at production scale
• 7+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments, and operations.
• Expert experience in DevOps or ML Ops
• Experience in programming languages (automation of the infrastructure) ie. Python, Java

Experience in one of the areas:

• AWS Cloud Infrastructure (e.g., Kubernetes, Terraform, CICD)
• MLOps: e.g., Kubeflow or Knative or Kserve or Nvidia Triton or ML Flow

Preferred Qualifications:

• MS or PhD in Computer Science or equivalent experience.
• Experience working with large-scale distributed systems, preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience dealing with real-world large-scale datasets.
• Strong understanding and passion for statistical/mathematical modeling and data analysis.
• Working hours: 7-10 AM or 19-21. Need to overlap with one of these slots. Besides that can work normal hours but standard employment hours- 8hs