Lead Machine Learning Engineer

TechDigital Group; Newark (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

TechDigital Group seeks a Lead Machine Learning Engineer to architect and deploy production-grade ML and Agentic AI solutions. You will collaborate with Product, Data Science, and Engineering to scale AI systems.

You will design models, build cloud ML apps, and drive MLOps, ensuring governance, observability, and reliability across systems. Proficiency in Python, C++, SQL, and modern AI frameworks is required.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Strong problem-solving, communication, and collaboration skills.
• Experience in Agile development environments.

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 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.

Skills

Traditional Machine Learning & Agentic

MLOps / Model Deployment & Cloud Eng

Software Engineering & System Design

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Spark/PySpark

REST APIs

GitHub Actions

Jenkins

CloudBees

Job description

Overview

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