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Deep Learning Jobs in Hyderabad

Explore top Deep Learning Job opportunities in Hyderabad for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Data Scientist - IITs/NITs/Premier institutes

Founded 2017
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Hyderabad, Bengaluru (Bangalore)
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0 - 5 years
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5 - 15 lacs/annum

AlgonoX Technologies is hiring Data Science Engineers from Premier Institutes to work on some cutting edge technologies! This is an exciting opportunity with a creative organization in AI/ML space having great work culture! Job role : Engineer Work Location : Bangalore/Hyderabad/Chennai depending on requirement. Educational qualification : Graduates from Premier institutes (IITs/NITs/IIITs/BITS) Experience : 1 + years AND 2017 passed outs. We are keen on hiring someone whose skill set matches the following. 1) Proven experience in Python programming with ability to write clean, well-documented and tested code. 2) Exposure to ML Libraries. 3) Knowledge on Deep learning frameworks ( Keras , PyTorch , Theano etc). 4) Prior experience on building chat bots would be added advantage. 5) Experience with manipulating large data sets (ETL). 6) Willing to research, ideate and implement practical solutions. 7) Passion coupled with knowledge on existing state of the art ML Models (Nice to have). 8) Effective communication and interpersonal skills. Proficiency/Experience/Exposure to the following : Python,Java, Node.js,TensorFlow,scikit ,Keras,Apache Solr,Selenium WebDriver Interested and those meeting the aforesaid may share their resume to satish.cherukuru@algonox.com

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Data Scientist

Founded 2014
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Anywhere
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3 - 12 years
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1 - 41 lacs/annum

We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.

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