AI/ML Engineer

Robotics Technologies LLC

Walnut Creek, CA, United States

about 2 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Training Data Artificial Intelligence Systems Engineering Business Systems Cloud Computing Information Engineering Programming Tools Information Technology Operations Python (Programming Language) Machine Learning Natural Language Processing Standard Sql

+9 more

Azure Machine Learning Salesforce.Com Systems Integration Google Cloud Deep Learning Generative AI Build Management AI Platforms Software Library

Job description

Experience with Google Vertex AI and understanding of pipeline builds.
Google Cloud

building out a new engineering team with a focus on Artificial intelligence. team consists of a few data scientists, a few software engineer generalists, and a project manager. Need help in Data Engineering within GCP and ML/AI Engineering.

Use generative artificial intelligence and machine learning tools to create business solutions to improve Member experience and operational efficiency. This role will require independent learning and problem solving to succeed.

Essential Functions

Design and build AI solutions using Google Cloud AI and Salesforce AI platforms (20%)
Train and fine tune models for performance, scalability and accuracy (15%)
Collaborate with stakeholders across MWG to understand business requirements and identify opportunities for AI-driven solutions (5%)
Evaluate training data for new solutions, and ensure high quality data sources (15%)
Work with IT engineering and IT operations teams to integrate and deploy new solutions into MWG business systems (10%)
Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time (5%)
Pilot proofs of concept to test new model approaches and validate proposals brought by business partner (15%)
Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations (5%)
Business intelligence analysis and reporting (5%)
Stay up-to-date on developments in generative AI and ML technology (5%)

Requirements

Do you have experience in Systems integration?, * Strong mathematical and analytical capacity

Strong communication and cross-team collaboration skills
Ability to work in an agile environment and work on multiple projects simultaneously
Proficient in relevant development tools such as Python, SQL
Experience with generative AI frameworks and machine learning libraries
Understanding of machine learning algorithms, natural language processing, and deep learning architectures
Experience and understanding of cloud technologies and implementations
Experience with business intelligence tools