Guardian Glass - Auburn Hills, MI
posted about 2 months ago
Full-time - Senior
Auburn Hills, MI
Professional, Scientific, and Technical Services
About the position
The Head of Data Science Software Engineering at Guardian Glass is a leadership role focused on driving innovation in AI and data science solutions within the Advanced Analytics Capability. This position involves overseeing the development of data-heavy applications and full-stack AI/ML solutions, with a strong emphasis on MLOps. The ideal candidate will translate customer needs into effective digital solutions while fostering collaboration across teams to achieve business goals.
Responsibilities
- Oversee the design, development, and optimization of applications that integrate AI/ML models in partnership with AI solution leader and product owner.
- Manage the agile product development lifecycle, facilitating effective communication and collaboration across teams, including data scientists, data engineers, and other cross-functional partners.
- Guide the design of scalable and robust system architectures that support data-driven applications, ensuring they meet performance, scalability, and reliability requirements.
- Evaluate and recommend tools, frameworks, and technologies that enhance the development and deployment of data science solutions.
- Stay updated on the latest trends and advancements in AI, data science, and software engineering.
- Monitor and optimize the performance of high-value AI solutions in production.
- Identify and resolve technical challenges related to the integration and deployment of data science models.
- Manage budgets and resources, ensuring efficient allocation and utilization.
- Develop and maintain relationships with key business and technical partners to support informed decision-making and trade-off decisions during delivery.
Requirements
- Experience in software development and engineering, with experience in a leadership role.
- Proven hands-on experience in full-stack software development and architecture for large, data-intensive analytics applications.
- Strong technical, program and product management skills with a history of delivering complex projects.
- Familiarity with industry-standard AI tools and frameworks.
- Understanding of the data/analytics/cloud landscape and vendor options.
- A background in Computer Science or Engineering.
Nice-to-haves
- Experience with AI/Data platforms (e.g., C3.ai, Salesforce Einstein, Snowflake) and cloud platforms (e.g., AWS, Azure).
- Experience managing multiple initiatives simultaneously.
- Experience in the manufacturing industry, especially glass manufacturing.
- Understanding of data privacy and security considerations in AI applications.
Benefits
- Paid parental leave
- Health savings account
- AD&D insurance
- Health insurance
- Dental insurance
- Tuition reimbursement
- Adoption assistance
- Vision insurance
- Life insurance
