Immediate need For_ AI/ML /Data science Manager

Hi

We are looking forAI/ML Manager with 13+Years exp from a Product development background with Datascience experience.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Scientist with 4-5 years of hands-on experience.
• Strong proficiency in Python programming, machine learning model development, and GenAI integration.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Knowledge of MLOps practices, including model versioning and containerization.
• Excellent data analysis and problem-solving skills with attention to detail.
• Effective communication and collaboration skills.

Key Responsibilities:

1. IP Development and Innovation
• Lead the ideation, design, and development of new IPs and differentiators that align with business strategy.
• Stay ahead of industry trends, leveraging insights to identify white spaces and create innovative solutions.
2. R&D Roadmap Ownership
• Define and manage the R&D roadmap, ensuring alignment with organizational goals and market demands.
• Prioritize initiatives based on business impact, feasibility, and customer needs.
3. Thought Leadership
• Establish and communicate a clear vision for the R&D division, positioning the organization as a leader in testing and technology innovation.
• Represent the organization in industry forums, webinars, and conferences to showcase expertise and build credibility.
4. Cross-Functional Collaboration
• Collaborate with pre-sales, solution teams, and delivery units to ensure R&D outputs are effectively integrated into solutions.
• Partner with sales teams to highlight the value of IPs and differentiators during customer conversations.
5. Market Analysis and Differentiation
• Conduct competitive analysis to benchmark offerings and identify opportunities for differentiation.
• Continuously refine IPs and solutions to maintain relevance and competitive advantage.
6. Customer Engagement Support
• Influence deals by articulating the business value of R&D outputs during client discussions.
• Provide technical and strategic input during customer workshops and solution presentations.
7. Team Leadership and Mentorship
• Build and lead a high-performing R&D team, fostering a culture of innovation, collaboration, and accountability.
• Mentor team members to drive skill development and ensure delivery excellence.
8. Performance Metrics and ROI
• Define key performance indicators (KPIs) for R&D projects and measure their impact on business outcomes.
• Ensure alignment of R&D investments with business objectives and demonstrate clear ROI.
9. Escalation Management
• Serve as the primary point of escalation for R&D-related challenges, ensuring timely and effective resolution.
• Maintain strong stakeholder relationships by addressing concerns with transparency and professionalism.
10. Flexibility and Adaptability
• Adapt to changing business needs, ensuring R&D initiatives remain relevant and impactful.
• Be travel-ready and flexible to engage with global teams and stakeholders.

If Interested please DM your profile to mounika.tungala@cigniti.com