100% Remote :: Min 15+ Years Exp :: AI/ML Engineer :: only W2

Remote • Posted 4 hours ago • Updated 4 hours ago

Contract W2

Contract Independent

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

Amazon Web Services
Artificial Intelligence
Backend Development
Collaboration
Computer Science
Data Analysis
FOCUS
Frontend Development
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Interfaces
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft Certified Professional
Microsoft SQL Server
Migration
MySQL
Non-functional Testing
Python
React.js
Relational Databases
SQL
Semantic Search
Specification Gathering

Summary

Key Responsibilities:
• Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
• Work extensively with Large Language Models (LLMs) to build and refine AI powered features.
• Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
• Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
• Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (Google Cloud Platform) environment.
• Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces.
• Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.

Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• A minimum of 10 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must.
• Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems. Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
• Strong proficiency in Python for backend development and machine learning.
• Solid experience with React for frontend development.
• Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
• Hands-on experience with Google Cloud Platform AI/ML services, including BigQuery, Google SQL and other technologies and APIs within Google Cloud Platform.
• Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
• Experience in taking over existing AI/ML applications from other teams.
• Estimate at a high level cost of usage in Google Cloud Platform for applications hosted/deployed
• Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production

Other Qualifications:
• Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
• A portfolio of projects demonstrating your expertise in AI and full-stack development.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91138575
Position Id: 8912596
Posted 4 hours ago

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