Job Location: India
- 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
- 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
Schedule: Full-time
Req: 007XVF
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