AI / ML Engineer (Generative AI)

Senior Machine Learning Engineer (Generative AI)Location: Hybrid – Newark, NJEmployment Type: Right to Hire (Contract-to-Hire)Pay Rate: $70–$85/hrPosition OverviewWe 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 ResponsibilitiesDeploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settingsBuild and maintain efficient data pipelines and storage solutions that support model operationsUtilize 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 processesImplement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performanceApply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructureApply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systemsDesign and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and toolsImplement strategies to manage and reduce operational costs associated with GenAI deploymentsQualificationsBachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred5+ years of experience as a machine learning engineer deploying models in productionStrong proficiency in Python and software engineering principlesSolid understanding of machine learning fundamentals and model lifecycle managementExperience with cloud platforms, containerization, and infrastructure managementFamiliarity with DevOps practices and automation toolsExpertise in GenAI frameworks, prompt engineering, and model servingAbility to manage GPU/TPU resources and optimize model serving frameworksExperience developing agentic systems and multi-agent architecturesProven track record of cost optimization in AI deploymentsComfortable working in a fast-paced environment as an independent contributor