fb Data scientist @ ValueLabs

Job Description

Data scientist


Expires on : 20220512
Job Code : VL/MS/0202/D/669
Hyderabad
Experience : 4-7 Years
Location : Hyderabad

• At least 3 years of experience in solving problems with Machine Learning in Python • Must have working experience with analyzing data and model performance • Strong understanding of classical machine learning and methods to handle sparse data • Experience in formulating ML problems and test hypotheses • At least 1 year of experience with deep learning using TensorFlow for computer vision • Experience in working on AWS cloud instances and services • Ability to deploy models in Production

Responsibilities
• Analyze vast amount of data from disparate sources and identify candidate features,• Train scalable Machine Learning models on local and/or cloud platform(s). • Evaluate model performance and identify model shortcomings • Visualize data and model insights and present the results to stakeholders • Designing and deploying models at scale using automated pipelines. • Convert Python based ML scripts to production quality level applications. • Work closely with data Engineers, developers and Machine Learning engineering peers to integrate ML/AI models and applications with existing suite of ML products. • Be approachable, a team player and ready to assist MLOps to build pipelines that need minimal operational maintenance. • If needed, be ready to independently learn new technologies. • Be able to prioritize tasks and take ownership. • Ability to communicate and meaningfully present results of analyses in a clear and impactful manner.
Requirements
At least 3 years of experience in solving problems with Machine Learning in Python • Must have working experience with analyzing data and model performance • Strong understanding of classical machine learning and methods to handle sparse data • Experience in formulating ML problems and test hypotheses • At least 1 year of experience with deep learning using TensorFlow for computer vision • Experience in working on AWS cloud instances and services • Ability to deploy models in Production

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