Enterprise Data Architecture Specialist
2 days ago
Ford Motor Company is committed to creating a better world through innovative technology and sustainable mobility solutions. As a Senior Machine Learning Architect, you will play a critical role in shaping the future of our company and driving innovation in the field of risk analytics.
The ideal candidate will have a strong background in cloud hosting concepts, risk analytics, and MLOps, with experience in migrating legacy applications to cloud platforms and business adoption of these platforms. You should also have excellent leadership and communication skills, with the ability to negotiate and influence key stakeholders.
We offer a competitive salary of $180,000 - $240,000 per year, depending on experience. Our benefits package includes 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, and more.
Key Responsibilities:
- Develop and implement a comprehensive strategy for Risk Analytics on Google Cloud Platform
- Lead a team of ML Architects to guide Design/Architecture/Tool/Implementation Patterns, Troubleshooting Guidance, and Remove Roadblocks for the Engineering teams
- Collaborate with program managers to plan iterations, backlogs, and dependencies across all workstreams to progress the program at the required pace
- Drive adoption of standardized architecture, design, and quality assurance approaches across all workstreams and ensure migrated solutions adhere to established standards
- Provide advisory and technical consulting across all initiatives including product evaluations and recommendations, security, architecture assessments, integration considerations, etc.
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
- Excellent leadership and communication skills
- Ability to negotiate & influence key stakeholders
- Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines
- Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc.
Benefits:
- Competitive salary: $180,000 - $240,000 per year
- 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
- 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
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