Sr. Machine Learning Architect

Ford - Boston, MA

Full-time - Senior

Boston, MA

Transportation Equipment Manufacturing

About the position

The Sr. ML Architect at Ford Motor Credit Company plays a crucial role in modernizing the Risk Analytics landscape by leading the architecture and implementation of a new Risk Platform on Google Cloud. This position involves collaboration with various stakeholders to develop solutions, conduct hands-on proof of concepts, and ensure adherence to architectural standards while driving the adoption of best practices across all workstreams.

Responsibilities

• Develop an in-depth understanding of the current Risk Analytics landscape and lead the Future State Architecture for the new Risk Platform in GCP.
• Lead evaluation of design options, tools, and utilities to build implementation patterns for MLOps using SAS Viya and VertexAI.
• Create solutions and conduct hands-on PoCs to move Risk Platform Components (KBS, CRIF, and SAS) to GCP.
• Work with Suppliers, Google Professional Services, and other Consultants to migrate key Risk models to GCP for Lending and Insurance platforms.
• Collaborate with program managers to plan iterations, backlogs, and dependencies across all workstreams.
• Lead a team of ML Architects to guide Design/Architecture/Tool/Implementation Patterns and troubleshoot issues for Engineering teams.
• Drive adoption of standardized architecture, design, and quality assurance approaches across all workstreams.
• Provide advisory and technical consulting across all initiatives including product evaluations and recommendations, security, architecture assessments, and integration considerations.
• Collaborate with Data Engineering architects, SMEs, and technical leads to establish best practices for data products needed for model training and monitoring.

Requirements

• Bachelor's degree in computer science or related field.
• 10+ years of relevant work experience in solution, application, and data architecture, with deep understanding of cloud hosting concepts and implementations.
• 5+ years of hands-on experience in Risk Analytics, MLOps, and Architecting Solutions for ML based models and Rules Engines.
• Experience in migrating legacy applications to Cloud platform and business adoption of these platforms.
• Knowledge of enterprise frameworks and technologies, strong in architecture design patterns, and experience with secure interoperability standards and methods.
• Strong understanding of DevOps principles and practices, including CI/CD, automated testing & deployment pipelines.
• Good understanding of cloud security best practices and familiarity with security tools and techniques like IAM, Encryption, Network Security.
• Understanding of microservices architecture.
• Ability to negotiate & influence key stakeholders.
• Strong leadership, communication, interpersonal, organizing, and problem-solving skills.

Nice-to-haves

• Google Professional Cloud Architect and/or Machine Learning Engineer certification preferred.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.