AI / ML Engineer

JSR Tech Consulting; Newark (NJ); On-site; 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

Long term, contract to hire position with a major investment firm in Newark, NJ.

hybrid in Newark, 3 days / week.

The need is for several strong AI/ML engineers. With experience spanning POC, model design to deployment in a large enterprise environment. GenAI, AWS, strong Python coding skills.

Requisition for Lead Machine Learning Engineer (Generative AI Focus)

Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.

• Key Responsibilities:Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
• Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
• Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
• DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
• Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
• Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
• Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
• Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
• Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.

Qualifications:

• Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred
• At least five plus years' experience as a machine learning engineer, deploying models in production
• Strong proficiency in Python and software engineering principles.
• Solid understanding of machine learning fundamentals and model lifecycle management.
• Experience with cloud platforms, containerization, and infrastructure management.
• Familiarity with DevOps practices and automation tools.
• Expertise in GenAI frameworks, prompt engineering, and model serving.
• Ability to manage GPU/TPU resources and optimize model serving frameworks.
• Experience in developing agentic systems and multi-agent architectures.
• Proven track record in cost optimization in AI deployments.
• Experience working in fast paced environment and independent worker

Impact & Purpose: We are committed to attracting the best and brightest talent who are driven by impact and purpose. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. If you are passionate about transforming theoretical AI models into impactful real-world solutions, we invite you to join our team.