AI / ML Engineer

JSR Tech Consulting; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

JSR Tech Consulting is seeking a Senior Machine Learning Engineer with GenAI expertise to join a remote, fast-paced team. You will deploy and maintain GenAI models in production, build data pipelines, and manage cloud-based infrastructure for scalable, secure AI workloads.

The ideal candidate has 5+ years in ML engineering, strong Python skills, and hands-on experience with GenAI frameworks, LangChain, and RAG. This remote role offers flexible work arrangements and impactful GenAI deployments.

Qualifications

• Bachelor's degree in computer science/engineering, data science, or related field.
• 5+ years' experience as a machine learning engineer, deploying models in production.
• Strong proficiency in Python and software engineering principles.
• Solid understanding of ML fundamentals and 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 serving frameworks.
• Experience developing agentic and multi-agent architectures.
• Proven track record in cost optimization for AI deployments.
• Experience working in fast-paced environments and independent work.

Responsibilities

• Deploy, monitor, and maintain GenAI models in production.
• Build and maintain data pipelines and storage for model operations.
• Use cloud platforms (AWS, Azure, GCP) for deployment and orchestration.
• Develop CI/CD pipelines, version control, and automation.
• Implement secure coding, authentication, and monitoring systems.
• Apply GenAI techniques like RAG and prompt engineering.
• Design and develop agent and multi-agent systems with LangChain.
• Optimize costs of GenAI deployments and infrastructure.

Skills

Python

Cloud platforms

Docker

Kubernetes

Terraform/ IaC

Git

Hugging Face

LangChain

RAG

Prompt engineering

Agent systems

Education

Bachelor's degree in CS/Engineering or related field

Master's degree preferred

Tools

Docker

Kubernetes

Terraform/CloudFormation

Git

Hugging Face

Job description

Remote position:

Requisition for Lead Machine Learning Engineer (Generative AI Focus)

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. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.

Key Responsibilities:

• Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
• Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
• Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
• DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
• Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
• Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
• Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
• Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
• Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.

Qualifications:

• Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred.
• At least five plus years' 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 in developing agentic systems and multi-agent architectures.
• Proven track record in cost optimization in AI deployments.
• Experience working in fast paced environment and independent worker

Impact & Purpose:

We are committed to attracting the best and brightest talent who are driven by impact and purpose. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. If you are passionate about transforming theoretical AI models into impactful real-world solutions, we invite you to join our team.