Machine Learning Engineer / AI Engineer

Machine Learning Engineer / AI Engineer

Location: Newark, NJ, Onsite, Full Time
Compensation: $120,000–$180,000+ (DOE)

About the Role

We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy intelligent systems that power next-generation AI-driven products.

This role is ideal for a hands-on builder who understands both the science and the engineering behind machine learning. You will work closely with product, engineering, and leadership teams to turn business problems into scalable AI solutions.

You won’t just experiment — you will ship production-ready models.

Key Responsibilities

Model Development & Deployment

• Design, train, and optimize machine learning models for real-world applications
• Deploy models into scalable production environments
• Build pipelines for data ingestion, preprocessing, training, and evaluation
• Monitor model performance and iterate based on real-world usage

AI & Data Engineering

• Work with structured and unstructured data sets
• Implement best practices for feature engineering and model selection
• Optimize model accuracy, performance, and reliability
• Collaborate with data engineers to ensure clean and accessible datasets

Production & Scalability

• Build robust APIs and services around ML models
• Ensure systems are scalable, secure, and maintainable
• Balance experimentation with production stability
• Address model drift and long-term model lifecycle management

Cross-Functional Collaboration

• Partner with product and engineering teams to define requirements
• Translate business objectives into ML strategies
• Communicate technical findings clearly to non-technical stakeholders
• Contribute to roadmap planning for AI-driven features

Required Experience

• 3+ years of hands-on machine learning engineering experience
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience deploying ML models into production environments
• Solid understanding of statistics, probability, and optimization techniques
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience building data pipelines and working with large datasets

Preferred Experience

• Experience with NLP, LLMs, or generative AI (e.g., ChatGPT-style systems)
• Experience fine-tuning or integrating large language models
• Background in AI product development within SaaS environments
• Experience with MLOps and CI/CD pipelines
• Experience working in fast-paced startup environments

What Success Looks Like

• Production-ready ML systems deployed successfully
• Measurable impact on product performance or revenue
• Clear documentation and maintainable model pipelines
• Strong collaboration across engineering and product teams
• Continuous improvement of model accuracy and efficiency

Who This Role Is For

• A hands-on technical builder who enjoys solving complex problems
• Someone comfortable owning projects from research through deployment
• A pragmatic engineer who values execution over theory
• A collaborative contributor who thrives in growth environments

If you are passionate about building scalable AI systems and shipping meaningful machine learning products, we would love to hear from you.

Email Resume: [email protected]
Apply Online:

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