Zycus Overview -&nbsp; - Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be 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 are reflected among procurement solution deployments that we have undertaken over the years. - Know more about the Leader of Gartner's 2013, 2015 and 2017 Magic Quadrant for Strategic Sourcing Application Suites About the Role -&nbsp; - The incumbent will work on Machine learning/Artificial Intelligence to manage the design and delivery of individual automations involving cognitive features/tasks. - The Director will be accountable for all deliverables during the Define, Design, Configure, Test and Roll out Phases. Working on Analysing Data and incoming issues. Produce data visualizations to communicate up and across the company. Perform predictive and cognitive analysis. REQUIREMENTS -&nbsp; - Overall 13-15+ Years of IT experience. - Around 4+ Years of industrial data-mining / analytics experience including applied techniques in data mining, machine learning, or graph mining using Python, R, SPSS, Scala, or Java. Manage the detailed tasks required to deliver high quality AI solutions in accordance with the agreed Delivery Methodology to achieve a consistent high standard of solution to Business Requirements. - Expertise in ML frameworks like TensorFlow, SpaCy, NLTK, genism, Azure ML. - Utilize a broad variety of statistical packages like R, MLIB, and Graphs. - Refine and train models based on domain knowledge and customer business objectives. - Deliver or collaborate on delivering effective visualizations to support the client business objectives. - Excellent customer experience intuition; demonstrated success in creating innovative and user-friendly software applications and customer-facing features. - Performing machine learning algorithms and applying various statistical techniques. - Fluency in Python in the context of scripting, data visualization and machine learning. - Extensive Expertise in statistical modelling/data mining. - Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R, SAS, SSRS). - Strong familiarity with AWS and cloud computing environments. - Any Advance Certification in AI would be a plus. Must Have - 5+ Years of Product management experience - Experience in genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods. - Up-to-date on latest industry trends; able to articulate trends and potential clearly and confidently. - Experience with Agile software development is a must. - Good interpersonal skills and communication with all levels of management - Experience developing software utilizing SDLC best practices - Understanding of business applications - Able to work in a fast-paced environment. - Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering or related field. - MBA and/or experience in Management Consulting will be highly preferred. BENEFITS -&nbsp; - An opportunity to be a lead the entire function of a fast growing and exciting business with global footprint. - We are a growing software product company. Being a part of the team will enable you to be a part of growth. - There is flexibility in our working hours, and our policies are employee friendly. - If working cohesively in a dynamic and growing environment triggers you to think about this opportunity, then do give it a thought and apply!

Bangalore

Zycus - Director - Machine Learning 

Zycus - Director - Machine Learning  ,Job Description for Zycus - Director - Machine Learning  in Zycus in  Bangalore for (13-15) years of experience. Apply Now!

Job Description for Zycus - Director - Machine Learning  in Zycus in  Bangalore for (13-15) years of experience. Apply Now!