Description

 

  • Strategic Leadership (10%):
    • Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives.
    • Provide guidance on data science projects (Agentic AI, Generative AI, and Machinnie Learng), aligning them with business objectives and best practices.
    • Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements.
    • Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions
  • Technical Leadership (40%):
    • Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML.
    • Utilize Python and relevant data science libraries, leveraging MLflow.
    • Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices.
    • Assist in development and documentation of standards for ethical and regulatory-compliant AI usage.
    • Stay current with AI advancements, contributing to the team's knowledge and expertise.
    • Perform hands-on data wrangling and AI model development
  • Operational Leadership (50%):
    • Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling.
    • Participate in Agile development processes (Scrum and Kanban).
    • Ensure compliance with regulatory and ethical AI standards. Required Abilities and Skills:
  • Agentic AI development and deployment.
  • Statistical modeling, machine learning algorithms, and data mining techniques.
  • Databricks and MLflow for model training, deployment, and management on AWS.
  • Working with large datasets on AWS and Databricks

Strong hands-on experience with:

  • Agentic AI development and deployment.
  • Working with large datasets on AWS and Databricks.

Travel: Up to 10% travel is expected to engage with remote teams, customers, or technology suppliers. Infrequent travel to engage teams in India may be expected.

Desired Experience:

  • Statistical modeling, machine learning algorithms, and data mining techniques.
  • Databricks and MLflow for model training, deployment, and management on AWS.
  • Experience integrating AI with IoT/event data.
  • Experience with real-time and batch inference integration with SaaS applications.
  • International team management experience.
  • Track record of successful product launches in regulated environments

Education and Experience:

  • 5+ years of data science/AI experience (5-6 months Agentic AI)
  • Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred).
  • Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production.
  • Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences

Education

Bachelor's degree