Senior Manager, AI Engineering/Services

$110,000 - $300,500/Yr

Geico - Chevy Chase, MD

Full-time - Senior

Chevy Chase, MD

Insurance Carriers and Related Activities

About the position

GEICO is looking for a Senior Manager to lead a team of Machine Learning Scientists and Engineers within the GEICO AI Org. This role focuses on building robust AI systems and services that integrate complex data ecosystems with AI/ML models to address real-world challenges. The Senior Manager will collaborate with a dynamic team to enhance operational efficiencies and drive innovation in the industry.

Responsibilities

• Lead design, architecting, and implementation of data-driven systems and platforms ensuring scalability, efficiency, and robustness.
• Develop and maintain efficient data pipelines that source structured and unstructured data, ensuring feature integrity and availability.
• Collaborate with Data Science and Machine Learning teams for seamless integration and deployment of AI/ML models into production applications.
• Establish SDLC and SRE best practices for stable operations of production AI systems.
• Evaluate, procure, and deploy specialized AI infrastructure components, balancing cost-effectiveness and scalability.
• Define project roadmaps, establish feature backlogs, and delegate tasks to junior and mid-level ML scientists.
• Translate complex findings into understandable insights for peers, leadership, and business stakeholders.
• Stay current with emerging AI technologies and identify opportunities for innovation.

Requirements

• Master's/PhD in data science, Computer Science, Statistics, Mathematics, or a related field with at least 8 years of relevant work experience, or a bachelor's degree with at least 10 years of relevant work experience.
• High proficiency (7+ years) in Python and Java, or similar programming languages.
• Track record (7+ years) of AI system design and implementation of large-scale data-driven production systems, preferably customer-facing.
• 6+ years of experience leading a high-functioning team of Machine Learning Engineers/Scientists.
• 6+ years' experience with data orchestration workflow tools such as DBT, Airflow, etc.
• 6+ years' experience working with big-data technologies/databases, e.g., Spark, MongoDB, Elastic Search, Snowflake, Neo4j, etc.
• 6+ years' experience working with cloud providers such as AWS and Azure, especially AI/ML related capabilities.

Nice-to-haves

• 5+ years' experience in building, deploying, and maintaining AI-ML pipelines and API services on both CPU and GPU-based infrastructure.
• 5+ years' experience in processing unstructured data.
• Experience in designing and building metrics dashboards and UI applications for AI/ML systems using frameworks such as Streamlit, Dash, Shiny, etc.
• Experience with building GenAI services & platforms.
• Domain knowledge in insurance or financial service/fintech sectors.

Benefits

• Premier Medical, Dental and Vision Insurance with no waiting period
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures