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18/07 Hemalatha B
Assistant Consultant at CIEL HR Services Pvt Ltd

Views:1150 Applications:15 Rec. Actions:Recruiter Actions:5

Manager - Natural Language Processing - BPO/ITeS (5-8 yrs)

Mumbai Job Code: 721991

Primary Skills

- Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

- Knowledge of deep learning & NLP

- Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

- Experience with GPU computing is a plus.

- Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

- Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

- Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

- Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling.

Qualifications :

- Expert-level experience with machine learning that can be applied to business problems

- Evidence you- ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

- Degree in a field that has very applicable use of data science/statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

- 5+ years of industry experience in data science and machine learning, preferably at a software product company

- 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

- 3+ years of experience partnering with executive staff on data topics

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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