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W2 Only : Lead Machine Learning Engineer || Onsite - Newark, NJ

Intone Networks Inc.Newark, NJ🇺🇸United StatesPosted Oct 7, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Newark, NJ, United States
Posted
20 hours ago
SQLMLOpsMachine LearningScikit-learnAgileC++GitHub ActionsJenkinsPyTorchPythonRESTTensorFlow

Job Description

Hi there,
Hope you are doing well,
Please go through the job description, if you are interested, Please Share your updated resume.
Job Role :  Lead Machine Learning Engineer
Location : Onsite - Newark, NJ
Hire Type : Contract
Acceptable Tax-Terms : W2
Job description :
We are seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and Agentic AI solutions that address complex business challenges. This role requires close collaboration with Product, Data Science, and Engineering teams to deliver production-grade AI systems.
Key Responsibilities :
Design, develop, and deploy ML models and Agentic AI solutions.
Build scalable cloud-based ML applications and data pipelines.
Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks.
Monitor model performance, governance, observability, and reliability.
Lead technical problem-solving and mentor engineering team members.
Develop applications using Python, C++, SQL, and modern AI frameworks.
Required Skills :
Strong experience in Traditional Machine Learning and Agentic AI.
Expertise in MLOps, Model Deployment, and Cloud Engineering.
Solid background in Software Engineering and System Design.
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs.
Experience with CI/CD tools such as GitHub Actions, Jenkins, or CloudBees.
Strong understanding of data engineering, distributed systems, and AI lifecycle management.
Qualifications :
Bachelor's degree in Computer Science, Engineering, or a related field.
Excellent problem-solving, communication, and collaboration skills.
Experience working in Agile development environments.
Top Skills :
Traditional Machine Learning & Agentic AI
MLOps / Model Deployment & Cloud Engineering
Software Engineering & System Design
Thanks & Regards
Abhinav Singh
Technical Recruitment Specialist
Intone Networks Inc.
Direct No:
Email:
LinkedIn URL: 

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