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6 days ago

Kolkata West Bengal, India RHI Magnesita Full time

Position level AI Specialist Software engineering professional Can t be a junior fresher needs to be middle to senior level person Work Experience Ideally 4 to 5 years of working as a Data Scientist Machine Learning and AI at a managerial position end-to-end project responsibility Slightly lower work experience can be considered based on the skill level of the candidate About the job Use AI-ML to work with data to predict process behaviors Stay abreast of industry trends emerging technologies and best practices in data science and provide recommendations for adopting innovative approaches within the product teams In addition championing a data-driven culture promoting best practices knowledge sharing and collaborative problem-solving Abilities Knowledge about data analysis Artificial Intelligence AI Machine Learning ML and preparation of test reports to show results of tests Strong in communication with a collaborative attitude not afraid to take responsibility and make decisions open to new learning and adapt Experience with end-to-end process and used to make result presentation to customers Technical Requirements Experience working with real world messy data time series sensors etc Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing feature engineering outlier handling etc Soft Skill Requirements Analytical thinking - Ability to connect results to business or process understanding Communication skills - Comfortable explaining complex topics to stakeholders Structured problem solving - Able to define and execute a structured way to reach result Autonomous working style - can drive a small project or parts of a project Tool Knowledge Programming Python Common core libraries pandas numpy scikit-learn matplotlib mlfow etc Knowledge of best practices PEP8 code structure testing etc Code versioning GIT Data Handling SQL Understanding of data format CSV JSON Parquet Familiarity with time series data handling Infrastructure Basic Cloud technology knowledge Azure preferred AWS GCP Basic Knowledge of MLOps workflow Good to have Knowledge of Azure ML AWS SageMaker Knowledge of MLOps best practices in any tool Containerization and deployment Docker Kubernetes Languages English - Proficient Fluent Location Hybrid WFO WFH Availability to visit customer sites for meetings and work-related responsibilities as per the project requireme

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