Senior GenAI ML Engineer (Hybrid – Newark)

JSR Tech Consulting; Newark (NJ); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work

Job summary

JSR Tech Consulting seeks a Senior Machine Learning Engineer to drive GenAI initiatives in Newark, NJ. You will bridge theory and production, shaping GenAI deployments and cost-effective infrastructure for enterprise scale.

The role demands strong Python skills, programmatic data pipelines, and hands-on experience with cloud services, Docker, Kubernetes, and LangChain. Hybrid work in Newark is offered with long-term contract-to-hire potential.

Qualifications

• Bachelor's degree in CS/Engineering or related field; advanced degree preferred.
• 5+ years of experience deploying ML models in production environments.
• Strong Python coding and software engineering fundamentals.
• Experience with cloud platforms, containers, and infrastructure management.
• Familiarity with GenAI frameworks, prompt engineering, and model serving.
• Ability to manage GPU/TPU resources and optimize serving frameworks.

Responsibilities

• Deploy, monitor, and maintain GenAI models in production.
• Build and maintain data pipelines and storage for model operations.
• Utilize cloud platforms (AWS/Azure/GCP) for deployment; use Docker and Kubernetes; implement IaC (Terraform/CloudFormation).
• Develop CI/CD pipelines and automation; manage version control (Git).
• Implement secure coding practices, authentication, authorization, and monitoring for infrastructure and models.
• Design agent and multi-agent systems using LangChain for external APIs and tools.

Skills

Python

GenAI frameworks

LLMs

Cloud platforms

Kubernetes

LangChain

Data pipelines

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Docker

Git

Hugging Face

LangChain

TensorFlow

PyTorch

Job description

JSR Tech Consulting seeks a Senior Machine Learning Engineer to drive GenAI initiatives in Newark, NJ. You will bridge theory and production, shaping GenAI deployments and cost-effective infrastructure for enterprise scale.

The role demands strong Python skills, programmatic data pipelines, and hands-on experience with cloud services, Docker, Kubernetes, and LangChain. Hybrid work in Newark is offered with long-term contract-to-hire potential.