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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | Sales / BD |
| EmploymentType | Full-time |
1.Will contribute to the strategic development of companys offer blueprint through building machine learning innovations. 2. Will design and deliver innovative, state-of-the-art machine learning products and platforms in-line with AQ s go-to-market strategy. a. Research new or adapt existing machine learning approaches to provide decision support to some of the leading marketers in the world. b. Be involved across all the different stages: from data discoverygeneration and feature engineering to model building and prototype design. 3. Will be partnering with various stakeholders to innovatively a. Empower the growing community to generate value from existing data assets. b. Frame optimal analytical solutions to business problems by leveraging the latest developments in Machine Learning. 4. Be a thought-leader, keeping up with the academic and industry trends Desired Profile Job Requirements: 1.Will contribute to the strategic development of companys offer blueprint through building machine learning innovations. 2. Will design and deliver innovative, state-of-the-art machine learning products and platforms in-line with AQ s go-to-market strategy. a. Research new or adapt existing machine learning approaches to provide decision support to some of the leading marketers in the world. b. Be involved across all the different stages: from data discoverygeneration and feature engineering to model building and prototype design. 3. Will be partnering with various stakeholders to innovatively 1.Graduate degree in Applied Statistics, Mathematics, or Computer Science from a premier institute; 4 years of experience building cutting edge analytic solutions from scratch. 2. Excellent theoretical understanding of machine learning concepts and practice. 3. Experience in various statistical and machine learning models; Strong expertise in one of the following - Bayesian Modeling, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Timeseries Models, Stochastic Markov Models, NLP etc. 4. Proficiency in statistical and other toolslanguages preferably R Python. 5. Knowledge of numerical optimisation methods. 6. Knowledge of NLP and related solutions. ,
Keyskills :
machine learningpython data analysissql analyticsmarkov models model buildingneural networks