- 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