Senior Data Scientist

2 days ago

belgaum, India beBeeDataScience Full time

Deep Learning Engineer JobAre you an expert in Deep Learning looking to leverage your skills in a fast-paced environment? We are seeking a talented Deep Learning Engineer to join our team. In this role, you will have the opportunity to work on cutting-edge projects, collaborating with a team of experienced professionals.Responsibilities:Collecting data through means such as analyzing business results or by setting up and managing new studiesTransferring data into a new format to make it more appropriate for analysisBuild tools to automate data collectionCompare and analyze provided statistical information to identify patterns, relationships, and problemsDefine and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineeringPrepare detailed reports for management and other departments by analyzing and interpreting dataTrain assistants and other members of the team how to properly organize findings and read data collectedDesign computer code using various languages to improve and update software and applicationsRefer to previous instances and findings to determine the ideal method for gathering dataRequirements:12 years of experience manipulating data sets and building statistical and machine learning modelsMasters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative fieldPreferred Qualifications:Experience developing Machine Learning/Data Science models from coding to deployment2+ years of experience in teaching or training3+ Years of Hands-on Hybrid Development experience preferredKnowledge of Cloud technology, NLP, Generative AI, and Computer VisionProficiency in Machine Learning libraries and frameworks like TensorFlow, Keras, PyTorch, OpenCV, Bert, Elmo SpaCy, NLTK, etc.Experience creating Chatbots and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plusExperience using statistical computer languages including Python & SQL, R is a plus to manipulate data and draw insights from large data setsKnowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Ability to compile and organize statistical information retrieved and present findings to managementFaculty to work toward multiple deadlines simultaneouslyStrong problem-solving skills with an emphasis on product developmentCertification in a Cloud-Based/Machine Learning service desirableBenefitsFast-paced environment with opportunities for growth and developmentCollaborative team of experienced professionalsOpportunities for professional development and certificationCompetitive salary and benefits packageOthersRelocation assistance availableSponsorship will be provided

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