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| Job Location | Navi Mumbai, Mumbai City |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Management Consulting / Strategy |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
Roles & Responsibilities :- Suggest, collect and synthesize requirements and create effective machine learning/deep learning solution/product- Good applied statistics skills such as distribution, statistical testing, regression, etc.- Strong understanding of common machine learning techniques such as Decision Trees, Nave Bayes, SVM, K-NN, clustering, multi-variate time series, Bayesian Networks, Boosting and Bagging techniques- Has experience in computer vision, text extraction from image, recommender system on large scale- Build and implement machine learning model on real time streaming data (video, IoT/sensor)- Strong background in Deep Learning/RNN/CNN/LSTM, transfer learning, training dense layers- Experience in implementing different deep learning architecture through frameworks like TF, Keras, PyTorch, Caffe, MXNet- Proficient in R/Python/PySpark and query language like SQL- Knowledge of automated ML pipeline- Knowledge of cloud ML platforms (AWS Sagemaker, GCP AI platform)- Exposure to BI/visualization tools like PowerBI- Ability to work in an entrepreneurial environment and be a self-starter- Good team player- Strong communication skills- Strong bias towards action and resultsExperience :- Overall 8+ years of experience out of which 6+ years must be in core Data Science/Machine Learning roles building models in R/Python/PySpark- Must have experience in building deep learning models using image and video data- Have built and implemented model for streaming data and IoT/sensor dataEducation :- Masters/Bachelors Degree in a quantitative major (engineering / statistics) or MBA from premier institutes,
Keyskills :
machine learninganalyticssqlalgorithmsoracle dbacore datatime seriesdeep learningdecision treescomputer visionbayesian networksgcpsvmcloudvideotreestestingpremierbagging