AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Walnut Creek (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Walnut Creek, CA seeks an AI/ML Engineer to design and deploy scalable AI/ML solutions within Google Cloud and related platforms. The role emphasizes building data pipelines, model training, and operationalizing models across MWG business systems.

You will collaborate with data scientists and software engineers, implement generative AI techniques, and stay current with advances in ML, NLP, and cloud technologies to improve member experience and operational

Qualifications

• Strong mathematical and analytical capacity.
• Excellent communication and cross-team collaboration.
• Able to work in an agile environment on multiple projects.
• Proficient in Python and SQL.
• Experience with generative AI frameworks and ML libraries.
• Understanding of ML algorithms, NLP, and DL architectures.
• Experience with cloud technologies and implementations.
• Experience with business intelligence tools.

Responsibilities

• 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 MWG stakeholders to understand business requirements and identify AI-driven opportunities (5%).
• Evaluate training data for new solutions and ensure high-quality data sources (15%).
• Integrate and deploy new solutions into MWG business systems (10%).
• Implement testing and monitoring programs to improve model reliability (5%).
• Pilot proofs of concept for new model approaches (15%).
• Lead internal projects to improve processes and operations (5%).
• Conduct business intelligence analysis and reporting (5%).
• Stay up-to-date on generative AI developments (5%).

Skills

Strong mathematical capacity

Analytical thinking

Cross-team communication

Agile workspace

Python

SQL

Generative AI frameworks

Cloud technologies

BI tools

Tools

Python

Job description

Job Overview

Job ID: J52987

Job Title: AI/ML Engineer

Location: Walnut Creek, CA

Duration: 24 Months + Extension

Domain Exposure: Manufacturing,Banking & Finance,Utilities/ Energy,Government,Telecom,Aerospace/ Airlines,Oil & Gas,IT/Software,Media/ Entertainment

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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.