Senior Manager, AI Engineering/Services

4 weeks ago

Chevy Chase, Maryland, United States GEICO Full time

Job Summary: GEICO is seeking an experienced Senior Manager to lead a team of Machine Learning Scientists/Engineers and build durable services & systems that connect complex data ecosystems and AI/ML models to solve real-world challenges.

Key Responsibilities:

  • AI Systems: Lead design, architecting, and implementation of a variety of data-driven systems and platforms ensuring scalability, efficiency, and robustness. Leverage open-source technologies for rapid prototyping & experimentation.
  • Feature/Data Engineering Pipelines: Lead development and maintenance of efficient data pipelines that source structured and unstructured data from various locations, ensuring feature integrity and availability.
  • Service Integration: Collaborate with Data Science and Machine learning teams to ensure seamless integration and deployment of AI/ML models into production applications.
  • MLOPs: Establish SDLC and SRE best practices to ensure stable operations of production AI systems.
  • Technical Leadership: Collaborate with cross-functional teams and leadership to ensure alignment, efficacy, and timeliness.
  • Communication: Translate complex findings into understandable insights and present them to peers, leadership, and business stakeholders.
  • R &D: Stay current with emerging AI technologies and incorporate them into the development process.

Requirements:

  • A Master's/PhD degree in data science, Computer Science, Statistics, Mathematics, or a related field and at least 8 years of relevant work experience or a bachelor's degree in these fields 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 productions systems, preferably customer-facing.
  • 6+ years of experience of 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, esp. AI/ML related capabilities such as Aure ML, AWS Sage Maker, Azure OpenAI, AWS Bedrock, etc.

Preferred Qualifications:

  • 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 dashboard 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.
  • Working knowledge of machine learning techniques and predictive modeling.

Key Competencies:

  • Creativity: Able to think outside the box to find innovative solutions to complex problems.
  • Intellectual Curiosity: Passionate about learning and staying updated with the latest developments in the field.
  • Strategic Thinking: Can envision long-term strategies and align day-to-day activities towards achieving them.
  • Decision-Making: Makes sound decisions based on data, analysis, and experience.
  • Adaptability: Thrives in a fast-paced environment, adapting to changing business needs.
  • Attention to Detail: Ensures precision and accuracy in all tasks and projects.
  • Interpersonal Sensitivity: Works effectively in team settings, valuing and respecting the views and roles of others.

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.

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