

Senior AI/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer with a contract length of "unknown," offering a pay rate of "unknown." Required skills include Python, cloud platforms (AWS, Azure, GCP), and expertise in Generative AI frameworks. A Bachelor's degree and five years of experience are mandatory.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 12, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Newark, NJ
-
π§ - Skills detailed
#Deployment #Python #Terraform #Infrastructure as Code (IaC) #Storage #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Computer Science #Model Deployment #Hugging Face #Azure #Automation #GIT #Docker #Consulting #Version Control #AWS (Amazon Web Services) #Data Engineering #Data Science #ML (Machine Learning) #Data Pipeline #Langchain #Security #Kubernetes #Monitoring #DevOps #Cloud
Role description
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
JSR Tech Consulting is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their dynamic team focused on Generative AI. The role involves deploying and maintaining GenAI models, building data pipelines, and ensuring operational efficiency while optimizing costs and ensuring security.
Responsibilities:
β’ Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
β’ Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
β’ Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
β’ DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
β’ Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
β’ Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
β’ Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
β’ Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
β’ Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.
Qualifications:
Required:
β’ Bachelor's degree in computer science/Engineering, data science, or a related field.
β’ At least five years' experience as a machine learning engineer, deploying models in production.
β’ Strong proficiency in Python and software engineering principles.
β’ Solid understanding of machine learning fundamentals and model lifecycle management.
β’ Experience with cloud platforms, containerization, and infrastructure management.
β’ Familiarity with DevOps practices and automation tools.
β’ Expertise in GenAI frameworks, prompt engineering, and model serving.
β’ Ability to manage GPU/TPU resources and optimize model serving frameworks.
β’ Experience in developing agentic systems and multi-agent architectures.
β’ Proven track record in cost optimization in AI deployments.
Preferred:
β’ Master's degree
Company:
JSR Tech Consulting provides contract consulting services for business and technology leaders in financial services. Founded in 2015, the company is headquartered in Cranford, New Jersey, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
JSR Tech Consulting is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their dynamic team focused on Generative AI. The role involves deploying and maintaining GenAI models, building data pipelines, and ensuring operational efficiency while optimizing costs and ensuring security.
Responsibilities:
β’ Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
β’ Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
β’ Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
β’ DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
β’ Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
β’ Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
β’ Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
β’ Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
β’ Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.
Qualifications:
Required:
β’ Bachelor's degree in computer science/Engineering, data science, or a related field.
β’ At least five years' experience as a machine learning engineer, deploying models in production.
β’ Strong proficiency in Python and software engineering principles.
β’ Solid understanding of machine learning fundamentals and model lifecycle management.
β’ Experience with cloud platforms, containerization, and infrastructure management.
β’ Familiarity with DevOps practices and automation tools.
β’ Expertise in GenAI frameworks, prompt engineering, and model serving.
β’ Ability to manage GPU/TPU resources and optimize model serving frameworks.
β’ Experience in developing agentic systems and multi-agent architectures.
β’ Proven track record in cost optimization in AI deployments.
Preferred:
β’ Master's degree
Company:
JSR Tech Consulting provides contract consulting services for business and technology leaders in financial services. Founded in 2015, the company is headquartered in Cranford, New Jersey, USA, with a team of 51-200 employees. The company is currently Growth Stage.