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Job description
Senior Machine Learning Engineer (Generative AI)
Location: Hybrid – Newark, NJ
Employment Type: Right to Hire (Contract-to-Hire)
Pay Rate: $70–$85/hr
Position Overview
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments, ensuring our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.
This is a right-to-hire position requiring permanent U.S. work authorization Sponsorship is not available. Recent MS or PhD graduates are encouraged to apply.
Key Responsibilities
Deploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settings
Build and maintain efficient data pipelines and storage solutions that support model operations
Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation)
Develop CI/CD pipelines, manage version control (Git), and automate deployment processes
Implement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performance
Apply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructure
Apply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems
Design and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and tools
Implement strategies to manage and reduce operational costs associated with GenAI deployments
Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field;
Master's degree preferred
5+ years of experience as a machine learning engineer deploying models in production
Strong proficiency in Python and software engineering principles
Solid understanding of machine learning fundamentals and model lifecycle management
Experience with cloud platforms, containerization, and infrastructure management
Familiarity with DevOps practices and automation tools
Expertise in GenAI frameworks, prompt engineering, and model serving
Ability to manage GPU/TPU resources and optimize model serving frameworks
Experience developing agentic systems and multi-agent architectures
Proven track record of cost optimization in AI deployments
Comfortable working in a fast-paced environment as an independent contributor
Worksite address
city of newark, NJ, 07102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.