ML OPs

3 weeks ago

Malvern, United States Georgia IT Inc Full time
Position - MLOPs
Location - Malvern PA (Hybrid)
Position type - Contract
Rate - DOE

US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time.

Roles/Responsibilities
  • Solid understanding of machine learning fundamental
  • Bring deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing Artificial Intelligence / Machine Learning analytics
  • Develop end-to-end (Data/Dev/Client)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Improve and maintain our automated Continuous Integration/Continuous Deployment pipeline.
  • Assist data scientists with model evaluation and training (includes versioning, compliance, and validation).
  • Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance, and validation).
  • Continuously evaluate the latest packages and frameworks in the Client ecosystem
  • Work with Product Owner and other Product Architect in building product technical roadmaps and architecture in alignment with business strategies and objectives
  • Collaborate with the broader architecture community to ensure that their products align with target architectures and technology roadmaps and provides input on required platform capabilities and improving development tools/processes
  • Work with other product teams, technology experts, and business stakeholders to provide functional support
  • Assist in the evaluation of vendors and products and participate in build vs. buy discussions with the product teams
  • Act as highest-level technical expert, resolving issues, assessing any potential risks and identifying solutions
  • Provide technical guidance to product team(s) as appropriate
  • Perform feasibility analysis on potential future projects
  • Assist in the development of and management of architecture governance process(es)
  • Prepare and present product-related documentation

Requirements
Company Personnel must have the following expertise
  • At least 5 years IT Experience in developing Software and Infrastructure as Code (on AWS)
  • Experience in developing software using CI/CD, and supporting automated CI/CD pipelines
  • Familiarity with container technologies including AWS Fargate, Docker and Kubernetes
  • Expert in Container technologies like Kubernetes and Docker
  • Experience in configuring AWS environment (i.e. EC2, S3, DB's etc.) Data (Glue, EMR, etc.) and AWS Services (Step & Lambda Functions etc.)
  • Proficient in AWS, DevOps, CI/CD and Micro services
  • Experience developing and managing packages and APIs using Python