Machine Learning Engineer

Machine Learning Engineer

Newark, NJ (Hybrid) | Contract | $60 / hour

Design, develop, and deploy cutting-edge machine learning and generative AI solutions that power innovation and business transformation.

A leading technology services firm is seeking an experienced Machine Learning Engineer to architect and implement advanced ML and AI-driven solutions. This role combines hands-on engineering with leadership, requiring deep technical expertise in model development, deployment, and optimization. The ideal candidate will bring a strong command of modern ML frameworks, cloud platforms, and generative AI tools like LangChain and RAG.

This position is hybrid and open to local candidates only .

Position Overview

The Machine Learning Engineer will lead the end-to-end lifecycle of machine learning initiatives—from data pipeline design to production deployment—while collaborating across data science, engineering, and business teams. This is a high-impact role at the intersection of AI innovation, scalable architecture, and applied data science, ideal for engineers passionate about operationalizing ML solutions at scale.

Key Responsibilities

Lead and execute machine learning projects from concept to production, ensuring performance, scalability, and business impact.

Collaborate with data scientists to design, implement, and optimize ML and AI models.

Partner with infrastructure teams to enhance the architecture, stability, and scalability of ML platforms.

Design and build optimized data pipelines to support real-time and batch inference.

Extend and maintain existing ML libraries, frameworks, and APIs to accelerate delivery.

Implement model monitoring, governance, and automation frameworks for robust ML operations (MLOps).

Drive continuous improvement of ML platform capabilities, staying aligned with the latest technologies and best practices.

Translate complex ML and AI solutions into actionable business insights and measurable results.

Provide mentorship and technical direction to junior engineers on the ML team.

Requirements

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field ( Master’s preferred ).

7+ years of experience in machine learning or applied AI engineering.

Proficiency in Python, Java, and Scala , with a solid foundation in algorithms, data structures, and multithreading.

Expertise in ML and DL frameworks such as XGBoost, scikit-learn, TensorFlow, and PyTorch .

Experience with Generative AI , LangChain , and Retrieval-Augmented Generation (RAG) architectures.

Hands-on experience with cloud-based ML platforms such as AWS SageMaker, GCP AI Platform, H2O.ai, or DataRobot .

Strong understanding of model lifecycle management , including containerization, real-time inference, and CI / CD for ML.

Experience developing and deploying production-grade ML applications on cloud infrastructure.

Familiarity with Agile / Scrum methodologies and collaborative cross-functional teamwork.

Preferred Experience & Skills

Strong knowledge of MLOps practices including monitoring, retraining pipelines, and governance frameworks.

Experience architecting generative AI solutions for enterprise-scale use cases.

Thought leadership in machine learning innovation, model scalability, and ethical AI practices.

Excellent communication, collaboration, and problem-solving skills.

Attributes & Mindset

Analytical thinker with a passion for innovation and applied AI.

Highly detail-oriented with a focus on code quality and model performance.

Self-motivated and capable of leading projects in fast-paced environments.

Committed to continuous learning and staying ahead of emerging ML technologies.

Benefits

Location : Newark, NJ (Hybrid)

Experience Level : Mid–Senior

Employment Type : Contract

Compensation : $60 / hour