ML Engineer

Role overview

• check_circle Design and build AI solutions using Google Cloud AI and Salesforce AI platforms
• check_circle Train and fine tune models for performance, scalability, and accuracy
• check_circle Collaborate with stakeholders across the company to understand business requirements and identify opportunities for AI-driven solutions
• check_circle Evaluate training data for new solutions and ensure high quality data sources
• check_circle Work with IT engineering and IT operations teams to integrate and deploy new solutions into company business systems
• check_circle Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time
• check_circle Pilot proofs of concept to test new model approaches and validate proposals brought by business partner
• check_circle Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations

Responsibilities

Basic qualifications

• 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
• 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
• Visa sponsorship is not available for this position