Lead Machine Learning Engineer

TekCommands Inc; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

TekCommands Inc. seeks a Lead Machine Learning Engineer to architect, develop, deploy, and scale Machine Learning and Agentic AI solutions for complex business challenges.

Onsite role at Newark, NJ, collaborating with Product, Data Science, and Engineering teams to deliver production-grade AI systems. You will design and deploy ML models, build cloud-based data pipelines, optimize MLOps, CI/CD, and model deployment frameworks while monitoring performance and reliability.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.

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.

Skills

Traditional ML

Agentic AI

MLOps

Model Deployment

Cloud Engineering

Software Engineering

System Design

TensorFlow

PyTorch

Scikit-learn

Spark/PySpark

REST APIs

CI/CD

GitHub Actions

Jenkins

CloudBees

Data Engineering

Distributed Systems

AI Lifecycle Management

Education

Bachelor's degree in Computer Science/Engineering

Tools

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Job description

Lead Machine Learning Engineer

Location: Onsite at 213 Washington St, Newark, NJ 07102

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 AIMLOps / Model Deployment & Cloud EngineeringSoftware Engineering & System Design