Machine Learning Engineer AI Engineer
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Job Location:
Newark, DE - USA
Monthly Salary:
$ 120000 - 180000
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Machine Learning Engineer / AI Engineer
Location: Newark NJ Onsite Full Time
Compensation: $120000$180000 (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 wont 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:
Apply Online:
Required Experience:
IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
Mai Placement is an executive recruitment firm specializing in placing high-level candidates across diverse industries by leveraging industry-specific expertise and an intuitive, research-backed matching process geared toward long-term success.
