Head of Machine Learning @ Tex Corp

Job Description

JOB DESCRIPTION Zycus is looking for applicants with a strong background in 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 he 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 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 JOB DESCRIPTION Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (SVM, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimisation (genetic algorithm, swarm theory) Deep learning (LSTM, Convolutional NN, Recurrent NN) Must Have: Total experience: 14+ years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Programming expertise on Python or R Preferred experience with large data sets & distributed computing in Hadoop ecosystem Strong problem-solving skills Fluency with databases Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Application Programming / Maintenance
Functional Area: Not Applicable
Role/Responsibilies: Head of Machine Learning

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Keyskills:   Machine Learning Pattern Recognition Natural Language Processing Computational Linguistics Information Retrieval Cloud Computing Econometrics Mechanism Design Operations Research Optimization Human Computer Interaction Information Visualization Classification Regression Graph theory Deep learning Statistical Modelling Inferencing Large Scale Distributed Systems Quantitative Marketing Applied Game Theory Classical Optimization Heuristic Optimisation