Brief Description of position:

Description: 

• Partners with lines of business to understand business problems and conceptualize the AI enabled solutions.
• Create a high performing team of machine learning and data science researchers.
• Be responsible of successful delivery and productization of AI enabled solutions.
• Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models.
• Conduct quick POC and idea evaluation.
• Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
• Mentor and guide data science team in choosing the right machine learning approach.
• Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Analytics.
• Evaluate vendors and commercial solution to support build vs buy decision.
• Write White Papers to evangelize ideas and drive adoption with the broader enterprise.
• Publish Research Papers in international journals and file patents for intellectual property.
• Present in leading conferences to showcase expertise and solutions. 

Qualifications - External

• You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field. Specialization in DS is preferred.
• You should have 15+ years of software development experience including 8+ in data science in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory.
• Should have prior experience of managing a AI team.
• Strong theoretical and practical knowledge of some or most econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.
• Strong theoretical and practical knowledge of some or most Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc.
• Should have demonstrated hands-on experience in solving real-world problems using Natural Language Processing and / or Computer Vision.
• Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.
• Fluency in programming skills such as Python, R, or other equivalent languages
• Possess good presentation skills; ability to organize and present information to audiences with disparate levels of technical understanding.
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus
• Experience in data visualization software such as Tableau, ELK, etc. is a plus
• Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and able to generate creative solutions to business problems

Minimum Qualification:

Graduate