Vice President - Data Scientist

AI driven transformation has been the core of the company and we have delivered cutting edge solutions for our clients, which has led to the company being recognized as preferred AI partners in our clientele.

The Director of AI Practice is part of leadership team and responsible for charting the overall AI vision of the organization. You will be required to lead AI driven innovation by

- Leading AI based Research and solution design

- Building solutions and capabilities in the company focus areas

- Collaborate with other functional teams to bring AI into action

- Present AI based value proposition to potential clients

- Provide SME support wherever required

- Lead AI skill and resource development for the organization

The role requires people with a good mix of technical knowledge and business acumen, and who are prepared to learn every day.

Responsibilities:

Core R&D

- Lead the end to end functioning of AI Centre of Excellence (AICoE)

- Researching on latest trends and formulate strategies in discussion with internal stakeholders

- Communicate with multi-function teams to understand requirements, and translate the business questions to analytical solution

- Work on cutting edge problems in Computer Vision, NLP , Voice Recognition , Recommender systems , Graph systems , Reinforcement Learning , Explainable AI etc.

- Translate ideas into demonstrable outcomes through working demos, codes and artifacts

- Ensure outcomes of research are aligned with organization goals

- Hiring, leading and mentoring a team of Phds , Masters

- Responsible for filing patents , publishing research/white papers

- Responsible for P&L of the practice

SME Support

- Lead PoCs and convert them into long term engagement while working with Sales and Account mining teams

- Participating in sales meetings in the capacity of subject matter expert (SME)

- Provide SME support to delivery teams , lead presentation of solutions to client stakeholders

- Evangelize AI internally and externally by supporting various marketing activities

Skill Development

- Identify short and long-term skills , technologies for organization wide training

- Work with Learning and development team for execution of training (content development, interviewing trainers etc.)

Qualifications

- Overall 12+ years of Data Science experience

- 5+ years of leading and managing large scale Data Science projects involving AI/ML/Big Data/Cloud

- 2+ years of managing R&D teams

- Deep understanding of concepts in Machine Learning, Deep Learning like Regression, Ensemble Trees (Bagging ,Boosting) , Neural Networks - CNN ,RNN, LSTM , Transformers

- Knowledge of Reinforcement Learning will be an added advantage

- Proven project delivery experience in Computer vision or Natural Language Processing or Sound Recognition

- Sound technical knowledge of Python , TensorFlow , PyTorch , Keras etc.

- Good understanding of Cloud based AI/Cognitive services in Azure , AWS and GCP

- Good understanding of Data Management , MLOps strategy

- Knowledge of edge based deployment will be added advantage

- Excellent people management skills to attract, motivate and retain talent

- Excellent communication skills

- Independent self-motivated and well organized with analytical mind