Lead Machine Learning Engineer

SPECTRAFORCE; Newark (NJ); On-site; USD 69,000 - 73,000; Full time

Job summary

SPECTRAFORCE in Newark, NJ is seeking a Lead Machine Learning Engineer to architect, develop, deploy, and scale ML and Agentic AI solutions addressing complex business challenges. You will collaborate with Product, Data Science, and Engineering teams to deliver production-grade AI systems.

Responsibilities include designing and deploying ML models, building scalable data pipelines in the cloud, advancing MLOps, monitoring performance and governance, and mentoring engineers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Excellent problem-solving, communication, and collaboration skills.
• Experience in Agile development environments.
• Strong experience with ML workflows and AI lifecycle management.

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.
• Mentor engineering team members and lead technical problem-solving.

Skills

Traditional ML

Agentic AI

MLOps

Model Deployment

Cloud Engineering

Software Engineering

System Design

Python

C++

SQL

REST APIs

CI/CD

Data Engineering

Distributed Systems

AI Lifecycle

Education

Bachelor's degree in Computer Science/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Spark/PySpark

GitHub Actions

Jenkins

CloudBees

Job description

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 ResponsibilitiesDesign, 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 SkillsStrong 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.
• QualificationsBachelor'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
• Software Engineering & System Design
• For information on benefits, equal opportunity employment, and location‑specific applicant notices,

At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position''s pay range is $50.00/hr - $53.00/hr.