Senior AI/ML Engineer

Machine Learning Technologies, LLC; Woodland (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC in California seeks a lead AI/ML architect to design scalable, secure GenAI solutions. You will architect multi-agent workflows, manage data pipelines, and drive end-to-end implementation on Azure.

You will mentor engineering teams, champion best practices, and ensure HIPAA/GDPR compliance while exploring cutting-edge GenAI and LLM trends to deliver enterprise-grade applications. Proficiency in Python and Azure is required.

Qualifications

• Experience designing scalable AI/ML systems in enterprise environments.
• Deep knowledge of vector embeddings, prompts, and LLM fine-tuning.
• Familiarity with GenAI concepts, NLP models, and multi-agent architectures.
• Proficiency in Python; Java/Go experience a plus.
• Strong Azure cloud skills: deployment, monitoring, and cost optimization.
• Experience with Azure AI Search, Redis, Cosmos DB; Blob Storage/Iceberg knowledge.
• Understand healthcare data regulations (HIPAA/GDPR) and secure data handling.

Responsibilities

• Architect scalable, secure AI/ML workloads on Azure.
• Drive end-to-end solution development including embeddings and context engineering.
• Oversee cloud deployment, performance tuning, and cost governance.
• Design data pipelines using Azure services and Iceberg.
• Mentor teams and enforce engineering best practices.
• Stay ahead of GenAI trends and integrate new approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Programming

Cloud Proficiency

Databases

Cloud-Native Architecture

Healthcare Domain

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

• Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
• Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
• Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
• Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
• Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
• Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
• Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
• Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
• Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise

• Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
• AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
• GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
• Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
• Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
• Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
• Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
• Healthcare Domain: Experience working with regulated data environments and compliance frameworks

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.