AI/ML Engineer

Insight Global
Newark, NJ, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$122,720.0 - $153,920.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Graph Database Python (Programming Language) Machine Learning Performance Tuning Enterprise Software Applications Cloud Platform System Large Language Models Multi-Agent Systems Prompt Engineering
+10 more
Generative AI Cloudformation Data Layers Containerization Information Technology HuggingFace Machine Learning Operations Terraform Data Pipelines Docker

Job description

Insight Global is hiring an experienced Machine Learning Engineer to support one of its largest financial services clients. In this role, you will help architect, deploy, and scale Generative AI solutions in production environments. Working alongside data scientists and engineering teams, you will be responsible for operationalizing AI models, supporting cloud-based AI infrastructure, and ensuring solutions are reliable, scalable, secure, and cost-effective. The ideal candidate combines a strong machine learning foundation with experience building and supporting modern GenAI applications and platforms.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.

  • 5+ years of experience as a Machine Learning Engineer deploying and supporting models in production environments.
  • Strong understanding of Generative AI technologies and architectures, including LLMs, RAG, vector databases, prompt engineering, and agent/multi-agent systems.
  • Experience deploying, monitoring, and scaling AI/ML or GenAI solutions in cloud environments, preferably AWS.
  • Hands-on experience with data pipelines, MLOps, CI/CD automation, Infrastructure as Code (Terraform/CloudFormation), and containerization technologies such as Docker and Kubernetes.
  • Experience developing AI solutions that integrate with APIs, enterprise systems, and external data sources.
  • Strong understanding of AI security, monitoring, performance optimization, and cost management best practices.
  • Proficiency in Python and modern AI frameworks such as Hugging Face and LangChain. Ability to learn quickly and adapt to emerging AI technologies.

Nice to Have Skills & Experience

  • Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Experience with semantic layers, ontologies, or knowledge graphs. Experience with AI testing, evaluation frameworks, or harness engineering.

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.insightglobal.com

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