Padmi

Data Science Engineer (Artificial intelligence) (Hyderabad)

HyderabadPosted 1 month ago
Data Science And StatisticsJuniorFull Time; Regular
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Job Title: Data Science Engineer (Artificial intelligence) Job description Strong trained knowledge in devising/enhancing machine learned (DL, NN) algorithms and data mining techniques for solving complex Big Data and enabling key business use cases through completion. Machine Learning (Must have): Solid knowledge in ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning. Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems Data / AI Engineering (Must have): Hands-on expertise in scripting Python, R. AI / DL Frameworks Knowledge of atleast two frameworks AI / DL frameworks Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch Hands-on usage of leading tools for productionizing DL solutions AWS Sagemaker / Libraries (like Rekognition), Azure ML components (Studio etc.), H2O AI. Should have deep understanding in at-least one of the following Computer Vision, Speech Recognition and / or NLP. Computer Vision: Experience with object detection, tracking, classification, recognition, scene understanding, facial expression analysis Sound background in one or more of Computer Vision like Scene Understanding, Recognition (Face, Iris, Finger, Gesture,) Image Processing hands-on expertise Speech Recognition: Should have good experience in speech technologies, ASR/TTS(Text to Speech). Exposure to speech technology tools like, HTK, Kaldi, Festival Knowledge in speech technologies (ASR or TTS) is required. Strong understanding of Machine Learning techniques especially deep learning Good Programming skills in C, Python Shell scripting is desirable. Natural Language Processing / Understanding / Generation Knowledge with some of the NLP problems, like intent detection, sentiment analysis, NER etc Strong understanding of Machine Learning techniques especially deep learning Good Programming skills in C, Python Shell scripting is desirable. RoleData Analyst Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryBusiness Intelligence & Analytics Education UG :Any Graduate PG :Any Postgraduate Key Skills ASRComputer visionImage processingArtificial IntelligenceShell scriptingMachine learningHTMLNatural language processingData miningPython Job Title: Data Science Engineer (Artificial intelligence) Job description Strong trained knowledge in devising/enhancing machine learned (DL, NN) algorithms and data mining techniques for solving complex Big Data and enabling key business use cases through completion. Machine Learning (Must have): Solid knowledge in ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning. Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems Data / AI Engineering (Must have): Hands-on expertise in scripting Python, R. AI / DL Frameworks Knowledge of atleast two frameworks AI / DL frameworks Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch Hands-on usage of leading tools for productionizing DL solutions AWS Sagemaker / Libraries (like Rekognition), Azure ML components (Studio etc.), H2O AI. Should have deep understanding in at-least one of the following Computer Vision, Speech Recognition and / or NLP. Computer Vision: Experience with object detection, tracking, classification, recognition, scene understanding, facial expression analysis Sound background in one or more of Computer Vision like Scene Understanding, Recognition (Face, Iris, Finger, Gesture,) Image Processing hands-on expertise Speech Recognition: Should have good experience in speech technologies, ASR/TTS(Text to Speech). Exposure to speech technology tools like, HTK, Kaldi, Festival Knowledge in speech technologies (ASR or TTS) is required. Strong understanding of Machine Learning techniques especially deep learning Good Programming skills in C, Python Shell scripting is desirable. Natural Language Processing / Understanding / Generation Knowledge with some of the NLP problems, like intent detection, sentiment analysis, NER etc Strong understanding of Machine Learning techniques especially deep learning Good Programming skills in C, Python Shell scripting is desirable. RoleData Analyst Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryBusiness Intelligence & Analytics Education UG :Any Graduate PG :Any Postgraduate Key Skills ASRComputer visionImage processingArtificial IntelligenceShell scriptingMachine learningHTMLNatural language processingData miningPython

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