Job Location: Ahmedabad
Experience :
– Overall 6+ years of data engineering experience out of which 3+ years must be in implementing machine learningdeep learning models using Python PySpark
– Must have experience in deploying ML models in real time streaming data (video, IoTSensor) ML Engineer Designation: AMM
– Must have implemented deep learning inference code
Education :
– Master- sBachelor’s Degree in engineering management from premier institutes
Roles &Responsibilities :
– Design highly scalable architecture to implement serialized or parallelly distributed machine learning models using Spark
– Experience in handling data in the form of text, speech, image, video or live stream from IOTsensors
– Build ML pipeline to deploy model in batch, streaming data (video IOTsensors) or as API
– Deploy machine learning model using AWS services; integrate AWS machine learning APIs within existing model code
– Knowledge of training deep learning frameworks (TF, Keras, PyTorch, Caffe, MXNet) using GPUTPU and deploying inference code through TF serving
– Proficient in Python PySpark and integrating model inference code with BIvisualization tools like PowerBI
– Hands-on experience of NoSQLGraphTime SeriesMPP(Postgres) databases
– Understanding of different streaming media protocols (e.g. RTSP), micro-services architecture, model deployment at edge devices
– Good understanding of common machine learning techniques such as Decision Trees, Na- ve Bayes, SVM, K-NN, clustering, Boosting and Bagging methods
– Ability to work in an entrepreneurial environment and be a self-starter
– Good team player
– Strong communication skills
– Strong bias towards action and results
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