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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Rs 18 - 30 Lakh/Yr |
Industry | IT - Software |
Functional Area | Embedded / System Software,Application Programming / Maintenance |
EmploymentType | Full-time |
Data Scientists AI/MLExp:3-7yrsLocation: BangaloreThe ideal candidate should be:A professional role model with deep and wide expertise in state-of-the-art AI/ML techniques, a passion for solving challenging data science problems and extensive hands-on experience.Be detail-oriented and have an aptitude for solving unstructured problems. You should be excellent in coming up with different approaches to solve business problem using AI and evaluate the trade-off between them. Be self-directed, take charge of opportunities with business impact and drive them to completion.Have deep technical expertise in feature-engineering of massive datasets, effective exploratory data analysis, and model building using AI/ML techniques.Be a role model innovator by adapting new AI/ML modeling techniques and procedures. Have deep expertise in creation and management of datasets. Have excellent business and communication skills to be able to work with stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area. Have the ability to manage and execute an entire AI project from start to finish, including problem solving, data gathering and manipulation, predictive modeling, and project management skills. Be a role-model in storytelling with data and articulating the AI problems in an understandable manner to senior leadership of the Business Units. You will be a part of the large global AI/ML Research Scientist community and will have access to state-of-the-art training, tools, and methods of the domain.Qualifications:Candidates need to hold at least a masters degree (or higher) in Computer Science/Machine Learning/AI/Data Science3-7years of relevant experience in building AI/ML models and in using Python (Scikit-learn, TensorFlow/Pytorch) and SQL (or equivalent).Experience in using data analysis techniques and ML methods like classification, regression pattern finding, clustering, dimensionality reduction, anomaly detection etc. Experience with Hadoop, Spark is an advantage Deep Knowledge of classical AI algorithms and Deep Learning techniques is a must. Great analytical skills and demonstrated ability of independent and creative thinking. Highly motivated strong team player with the ability to work both independently and collaboratively within a team. Has strong analytical skills, including the abilities to scope out business problems to be solved, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem. Ability to present information professionally and concisely with supporting data. Previous experience as a data scientist in semi-conductor industry or data intensive organizations is a plus. Experience in creating powerful data driven visualizations to describe ML modeling results to stakeholders.
Keyskills :
algorithmspattern recognitiondeep learningsemantic searchinformation extractionscikit-learnscientific data managementdata sciencealgorithm developmentartificial intelligencemachine learningai algoritmspytorchtensorflow