Director of Machine Learning

at Zycus

Director of Machine Learning

Zycus

Company

Home

Director of Machine Learning

at Zycus

Posted by Sasi Vignesh

10 - 15 yrs

₹40L - ₹50L / yr

Remote only

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Computer Vision

recommendation algorithm

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Roles & Responsibilities:

Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics
Work with senior leaders from all functions to explore opportunities for using advance analytics
Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality

Roles & Responsibilities:

Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics
Work with senior leaders from all functions to explore opportunities for using advance analytics
Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals
Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies
Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality

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About Zycus

Founded :

1998

Type :

Product

Size :

1000-5000

Stage :

Profitable

About

Zycus was incorporated in Princeton, the U.S. in 1998. Since then, we have grown every day and established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. Our spirit of innovation and our passion to help procurement create greater business impact is reflected among procurement solution deployments that we have undertaken over the years. We are proud to have as our clients, some of the best-of-breed companies across verticals like Manufacturing, Automotive, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a strong workforce of 1200+ employees, we are present in India with 3 Development centers located in Bengaluru, Mumbai, and Pune. We also have our offices in 13 countries including the U.S, UK, Netherlands, Dubai, Singapore, France, Germany, Melbourne, Thailand, Sweden and Denmark. Been recognized as a leader for the 4th time in Gartner's Magic Quadrant (2018, 2017, 2015, 2013), for Strategic Sourcing Application Suites, we stand well-fortified among our peers. Zycus debuted as a leader in The Forrester Wave: eProc Q2, 2017 and was also bracketed as a leader in The Forrester Wave: Contract Life Cycle Management Q1, 2019.

Sasi Vignesh

sakshi mehra

Siddharth Shilimkar

Nisha Joshi

Priyanka S

madhavi JR

Sanju Laitonjam

nisha joshi

Sawanti Mandal

Varsha Gupta

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