Machine Learning Operations Engineers

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, DBs etc.) Data (Glue, EMR etc.) and AWS Services (Step & Lambda Functions etc.)

Proficient in AWS, DevOps, CI/CD and Microservices

Experience developing and managing packages and APIs using Python

Roles/Responsibilities for Company Personnel are as follows:

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/ML)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 ML 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