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Guardian Glass - Wichita, KS

posted about 2 months ago

Full-time - Senior
Wichita, KS
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 requires extensive experience in developing data-heavy applications and full-stack AI/ML solutions, particularly in MLOps. The role involves translating customer needs into effective digital solutions, fostering collaboration, and influencing resource allocation to align software applications with 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
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