Vacancy caducado!
- Overall IT Experience 10 – 12 Years Relevant Work experience 4 – 5 Years• B.Sc/M.Sc Mathematics/Economics/ Computer Science /Statistics or equivalent• Highly proficient in Python and relevant libraries like numpy, pandas, tensor flow, pyspark, opencv, scikit-learn• Knowledge of a variety of machine learning techniques (exploratory data analysis, supervised/unsupervised machine learning, regression, random forest, svm, boosting, cross validation, etc) - Must.• Knowledge of a variety of deep learning techniques (regression, classification, CNN, RNN, LSTM, etc) - Must.• Experience in collecting, analyzing and interpreting large data sets• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc. - an advantage• Experience with Big Data products like Hadoop, Hive will be a plus• Good knowledge of Unix• Excellent PPT and Excel skill• Excellent communicator, able to explain your work in layman’s terms• Have worked in Agile development• Certified in Python Responsibility• Work closely with product owners and formulate financial business use cases which can be solved using ML/DL approach• Create specification of the approach and create approach document• Brain storm on design and solution approach with team and provide guidance.• Work with business and assess data availability and data quality• Define training sets, evaluate models and recommend the best approach for solving the business use cases• Define relevant performance metrics to evaluate model efficacy that can meet real world scenario.• Create scalable models which can be leveraged across businesses use cases.• Build catalogue of common assets, such as code templates, libraries, utilities, etc.• Conduct regular team meeting and ensure team is on track• Appraise Client stakeholders of project progress and raise any concerns or risk in advance along with mitigation plan.
Vacancy caducado!