AI/ML Engineer
— · San Jose, US
Job description
-
Job ID:
J52987
-
Job Title:
AI/ML Engineer
-
Location:
Walnut Creek, CA
-
Duration:
24 Months + Extension
-
Hourly Rate:
Depending on Experience (DOE)
-
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD -
Client:
To Be Discussed Later
-
Employment Type:
W-2, 1099, C2C
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%)
Knowledge/Skills/Abilities
-
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
Equal Opportunity Employer
ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
More Core AI Engineering roles
View all →GenAI / Agentic AI Engineer (US)
TD · Philadelphia, US
Senior AI Engineer, Scientific Training & Collaboration
— · San Jose, US
AI Engineer, Government Solutions & APIs
— · San Jose, US
AI Solutions Engineer - Defense Tech (Secret Clearance)
— · Baltimore, US
AI Solutions Engineer
Innodata · Baltimore, US
AI Developer
ARCHE consulting · Remote · Poznań