C14 - SVP Specialized Analytics Grp Mgr - PUNE

Description

Summary :

• Work as SME in the area of ML / Generative AI. Strong AI and ML concepts and understand Pros and Cons of AI / ML algorithms for better model selection. Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers. Stay abreast of the latest advancements, trends and research in AI and ML space. Knowledge of domain-specific NLP applications and use case across various business problems.
• Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML / AI / Gen AI models on different platforms. Provide technical leadership, mentorship, and guidance to a team of model developers. Ensuring 100% execution accuracy.
• Must be able to provide thought leadership for all data solution that includes designing, developing and implementing Machine Learning / AI / Gen AI solutions that meet and exceed expectations. Extensive knowledge on code and execute the current state of art ML / AI / Gen AI algorithms and Generative AI across different coding platform
• Have extensively worked on advanced programming language & databases (SQL,NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark. Communicate complex analytical concepts and results to both technical and non-technical audiences.
• Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines. Continuously evaluate and improve model monitoring & governance processes to adapt to changing business needs and emerging risks. Familiarity with regulatory frameworks and industry standards related to model governance and risk management, such as GDPR, CCPA, or Basel III. Strong understanding of MRM guidelines for ML model approvals and ongoing model validation
• Understand the complexities of data analysis, machine learning and model development to guide team effectively. Overseeing the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment. Ensure models are developed and deployed in timely manner with high quality and no errors. Strong collaboration among multidisciplinary teams to drive innovation.
• This role is a people manager role. The role requires to lead 15+ data scientists , some of them could be manager of managers, manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance.

Knowledge and Experience :

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group : Decision Management

Job Family :

Specialized Analytics (Data Science / Computational Statistics)

Time Type : Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and / or contact the recruiter.