AI​/ML Engineer

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

Work Authorization:

• 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.

• 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%)

• 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

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.