Develop and implement AI and ML strategies aligned with business objectives.
Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.
Constructively challenge the other data scientists on approach
Utilize and provide expertise in leading AI platforms, frameworks, and libraries.
Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.
Lead the AI solutions deliver:
Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions
Model development and Explorations:
Lead and contribute to the development of machine learning models from ideation to production deployment.
Hands-on experience with Google Cloud Platforms Vertex AI for building, deploying, and managing machine learning models.
Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.
Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.
Lead explorations for AI techniques, platforms and tools.
Team Management:
Mentor and development of a team of 4-5 data scientists.
Team Collaboration and Communication.
Own development of the resources and career progression
Guide Project Prioritization and Resource Allocation.
Collaborate with global partners to evolve ways of working
AI Literacy and Mentorship to broader organization:
Mentor and guide a team of data scientists in approach for AI solution delivery.
Foster a collaborative and innovative team environment.
Contribute to the overall effort to educate stakeholders on AI practices.
Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.
MINIMUM QUALIFICATIONS
Tier1 + 5+yrs experienceOR8+ years in providing data science solutions with overall 12+yrs of Industry experience
Bachelor s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute
Proven skills in leading implementations of AI solutions
Experience in managing team
Experienced in providing technical mentorship
Technical Concepts- MLOps, Containerization, Data Lineage and Visualization
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups
Excellent stakeholder management skills and storytelling skills
Expert level
AI solutions architecture
Supervised ML algorithms, optimization, and performance tuning
Google Cloud Platform Vertex AI, BQ, Composer, Cloud Storage; Open to other cloud experience Azure, AWS
ML supervised algorithms
CPG domain either on Commercial or supply chain
Python, SQL
Intermediate Level
MLOps
GCP cloud architecture/ Any other cloud
AtScale & Alation
Deep Learning
Basic Level
Container, GKE
PREFERRED QUALIFICATIONS
Publications or contributions to the data science and AI community.
Certifications in AI, machine learning, or related fields.
