Senior AI/ML Engineer GenAI & Cloud Solutions

Machine Learning Technologies, LLC; Woodland (CA); On-site; USD 86,000 - 123,000; Full time

Job summary

Machine Learning Technologies, LLC in Woodland Hills, CA, is seeking a Senior AI/ML Engineer GenAI & Cloud Solutions to architect scalable GenAI systems and lead enterprise deployments on Azure. You will design data pipelines, implement embeddings and prompt strategies, and guide microservices via Azure Functions and Container Apps.

The role requires deep GenAI knowledge, Azure proficiency, and leadership to mentor engineering teams while advancing cutting-edge GenAI techniques in regulated

Qualifications

• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
• Strong background in vector embeddings, prompt engineering, and context engineering.
• Deep understanding of Generative AI, LLMs and NLP concepts.
• Proficient in Python; Java/Go exposure is a plus.
• Experience deploying and scaling on Azure Cloud.
• Familiarity with Cosmos DB, Redis, Blob Storage and Iceberg.
• Healthcare data security and regulatory considerations.

Responsibilities

• Architect and design scalable AI/ML systems leveraging GenAI frameworks.
• Drive end-to-end solution development including embeddings and prompts.
• Oversee Azure-based deployment of AI workloads with cost controls.
• Design data pipelines using Azure storage, Redis, Cosmos DB.
• Build microservices with Azure Functions and Container Apps.
• Define cloud-native patterns, tuning, and resilience.
• Mentor teams, enforce best practices, review designs and code.
• Stay ahead of GenAI trends and integrate cutting-edge approaches.

Skills

Agentic Layer & Protocols

AI/ML Engineering

GenAI & LLM Concepts

Python

Azure Cloud

Cosmos DB

Redis

Blob Storage

Iceberg

Healthcare Domain

Java/Go exposure

Education

Tools

Azure Functions

Azure Container Apps

Azure Cloud services

Cosmos DB

Redis

Blob Storage

Iceberg

Azure AI Search

Job description

Location:

WOODLAND HILLS, CA

Duration:

8Months+ Extension

Domain Exposure:

Client:

To Be Discussed Later

Employment Type:

W-2, 1099, C2C

Work Authorization:

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

Job Title: Senior AI/ML Engineer GenAI & Cloud Solutions

Location: Woodland hills, CA

Duration: 8 Months + Extension

Bill Rate: $76/hour(C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

Job Description

• 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.