What are the responsibilities and job description for the AI / ML (Python) Engineer position at Diverse Lynx?
Objective / Project Overview
The purpose of this engagement is to support the Reliability Software team with AI / ML applications and MLOps infrastructure. The vendor will support the development, deployment, and maintenance of machine learning pipelines, AI-powered applications, and self-hosted large language model (LLM) inferencing infrastructure. The team will take proof-of-concepts and prototypes developed by Apple engineers and scale them into production-grade systems, adhering to best practices in software development, MLOps, and cloud infrastructure management.
Role :
The vendor team will focus on the following key areas :
- Developing production-ready web applications and machine learning pipelines
- Deploying, administering, and maintaining ML applications and supporting infrastructure in AWS or other cloud / on-prem infrastructure
- Setting up scalable ML infrastructure for training and monitoring predictive models
- Implementing self-hosted LLM inferencing services on AWS
- Supporting Kubernetes-based workloads on AWS EKS Roles and Expected Resourcing (estimate) Role Location FQ2'25 FQ3'25 FQ4'25 FQ1'26 Lead Engineer, AI / LLM Applications US (remote) 1 1 1 1 MLOps / Cloud Engineer US (remote) 1 1 1 1 2 2 2 2 1
- Implementing best practices for CI / CD, monitoring, and telemetry
- Ensuring production security and compliance by working within predefined access controls
- Writing robust and testable code following software engineering best practices.
Technology Stack Requirements
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
