Senior AI Platform Engineer at Twin Health | TopGenAIJobs

Senior AI Platform Engineer

Twin Health

United States

5+ years

Today

₹15–16 LPA

Full-time

Remote

Skills Required

LLM

Gen AI

Machine Learning

MLOps

Python

Docker

Kubernetes

Microservices

SQL

NoSQL

Apache Spark

Java

Go

Description

Twin Health empowers people to improve and prevent chronic metabolic diseases with a new standard of care using AI Digital Twin technology.

Company: Twin Health

Role: Senior AI Platform Engineer

Location: Remote, USA

Experience:

5+ years of industry experience

Key Skills:

Machine learning
MLOps
Python
Docker
Kubernetes
microservices architecture
SQL
NoSQL
big data processing frameworks
LLM's
GenAI

Qualification:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Role Focus:

Architect, design, and build robust and efficient AI/ML systems
Lead cross-functional initiatives end-to-end
Collaborate closely with AI/ML engineers
Be a subject matter expert on ML infrastructure
Ensuring operational excellence and reliability of ML systems
Develop tools for effective model management and continuous monitoring

Additional responsibilities:

Actively engage in mentorship and knowledge sharing

Nice to have:

Experience in the implementation of applications using LLM’s and GenAI
Experience with database technologies and big data processing frameworks

Other:

Competitive compensation package ($180,000 - $200,000)
Opportunity for equity participation
Unlimited vacation with manager approval
16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
100% Employer sponsored healthcare, dental, and vision
401k retirement savings plan

Prepare for this role

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Python 3 Programming Specialization

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Intermediate Python covering classes, inheritance, APIs, and data processing.

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Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.