Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid

Mount Sinai Health System
New York, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 198K

Job location

New York, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Unix
Elasticsearch
Machine Learning
NoSQL
Systems Development Life Cycle
TensorFlow
Search Technologies
Software Engineering
SQL Databases
Systems Integration
Google Cloud Platform
Cloud Platform System
Large Language Models
Spark
Generative AI
GIT
Information Technology
Machine Learning Operations
Virtual Agents
Terraform
Jenkins
Programming Languages

Job description

Machine Learning Engineer III - AI Agent Engineer will oversee the design and development of sophisticated machine learning systems. They will collaborate closely with cross-functional teams to drive innovation and ensure the successful implementation of machine learning solutions.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field.

  • 4+ years of relevant experience in machine learning and back-end software development.

  • 1+ years of hands-on experience building and deploying Generative AI, LLM, RAG, Copilot, or Agentic AI solutions in production environments.

  • Experience with LLM platforms and frameworks such as Azure AI Foundry, Azure OpenAI, OpenAI, Anthropic, LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.

  • Experience building RAG architectures utilizing vector databases such as Pinecone, Azure AI Search, Elasticsearch, Weaviate, Chroma, or equivalent platforms. Demonstrated end-to-end machine learning system development and operation experience, covering the complete Software Development Life Cycle (SDLC).

  • Proficiency in multiple programming languages and machine learning frameworks and tools.

  • Solid experience with both SQL and NoSQL databases.

  • Extensive experience with Big Data technologies like Apache Spark.

  • Hands-on experience in Unix environments.

  • Practical knowledge and experience with at least one cloud system among AWS, Azure, or Google Cloud.

  • Familiarity with continuous development and integration systems such as Jenkins, Git, Azure DevOps, and Terraform.

  • A proven history in developing, deploying, and operating efficient and reliable machine learning systems.

  • Strong leadership and effective communication skills to facilitate cross-functional collaboration throughout the organization.

  • Experience in providing mentorship

Benefits & conditions

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $132,000.00 - $198,065.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, 271 - DTP Clinical Data Science - MSH, Mount Sinai Hospital

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