AI/ML Engineer

Title: AI/ML Engineer

Location: Walnut Creek, CA - Will Have to go onsite 3 days a week T-W-TH

TN

Video Interview 

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 Google Cloud Platform 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

Education & Experience / Licenses & Certification

● Bachelor's degree In Computer Science, Data Science, Artificial Intelligence, or a related field equivalent combination of education and experience.

● 7+ years of relevant experience including data science, analytics, data engineering and/or software engineering

● -OR- 3+ years of experience in developing and deploying machine learning or AI models

Additional Notes from Qual Call:

The key to this role is AI/ML experience within he Google Cloud Landscape Google Cloud Platform experience is required and expectations are to have hands on experience with VertexAI.

The team is implementing Salesforce AgentForce and this role will require technical comparisons between Google Cloud Platform tools and Salesforce Tools (When you utilize each tool for building agents). They offer training on the Salesforce side, so that experience is not required, but would be extremely helpful.

DialogueFlowCX is another new tool they will be using – experience not required, but nice to have. Will be using this to create conversational agents.

Google Cloud Platform Certs are highly desirable.

AI/ML Engineer (AI Specialist)

• Experience with Google Vertex AI and understanding of pipeline builds.
• Software development background is helpful.
• Familiarity with GitHub and CI/CD processes.
• Architecture and IAM experience on Google Cloud Platform is valuable.
• Hands-on model development (about two-thirds of the role), plus solution design/integration.
• Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and chatbot/GenAI projects preferred.
• Salesforce Agent Force experience is a plus but not required.
• Location: Walnut Creek.

AI/ML Engineer Requirements

Top Skills: GenAI, Google Cloud, TensorFlow/PyTorch, Hugging Face, Python, SQL, BigQuery

Bonus: Salesforce Agentforce AI, Vertex AI

Work Split: 70% model development, 30% production/operations/integration