This role is for one of the Weekday's clients
Min Experience: 10 years
Location: Bangalore, Delhi
JobType: full-time
Requirements
Roles and Responsibilities:
- Define and implement a comprehensive AI and data strategy focused on enhancing urban governance and public service delivery.
- Build, lead, and mentor a high-performing team of data scientists and engineers, cultivating a culture of collaboration, innovation, and continuous learning.
- Design and implement data governance frameworks, architecture standards, and compliance protocols. Oversee the optimization of data infrastructure, including storage systems, pipelines, and processing workflows.
- Develop and deploy impactful AI/ML solutions, ensuring they are effectively integrated, adopted, and scaled to deliver measurable value.
- Coordinate with cross-functional technical teams to streamline data pipeline integration, model development, and deployment. Provide hands-on technical leadership to ensure timely and high-quality delivery.
- Drive innovation and operational efficiency in AI workflows. Propose novel approaches to harness diverse data sources, enhance model performance, and optimize end-to-end AI solution delivery.
- Stay current with advancements in AI, ML, and data science. Evaluate emerging tools, platforms, and research to strengthen technical capabilities and improve governance systems.
Requirements:
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
- 10+ years of experience in AI, data science, and machine learning, with a strong track record of leading data-driven initiatives.
- Proven leadership experience managing cross-functional teams in data and AI-focused projects.
- Expertise in handling large and complex datasets, including structured, unstructured, and geospatial data.
- Practical experience in developing and deploying AI models, including large language models (LLMs).
- Deep understanding of data governance practices, privacy policies, and regulatory compliance.
- Background or exposure to urban development or public sector systems is an added advantage.
Skills and Competencies:
- Strong leadership and team mentoring abilities.
- Deep knowledge of AI/ML frameworks, deep learning technologies, and big data ecosystems.
- Excellent communication skills, with the ability to translate complex technical insights to non-technical stakeholders.
- Advanced understanding of data architecture, modeling, processing pipelines, and compliance requirements.
Core Skills:
Artificial Intelligence | Machine Learning | Data Science | Data Governance | Data Analytics | Big Data | Data Architecture | LLMs | Urban Governance