Deep Learning
Machine Learning (ML)
Data ScienceCompany Name: Curl Tech
Location: Bangalore
Website: www.curl.tech
Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.
Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).
If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!
Designation: Data Scientist or Junior Data Scientist (according to experience)
Job Description:
Good with Machine Learning and Deep learning, good with programming and maths.
Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.
Responsibilities:
-
The candidate will be working on many image analytics/numerical data projects.
-
Candidate will be building various machine learning models depending upon the requirements.
-
Candidate would be responsible for deployment of the machine learning models.
-
Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.
What we are looking for candidates with:
-
Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.
-
Proven code proficiency in Python,C/C++ or any other AI language of choice.
-
Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent
research.
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Understanding how things work internally in ML and DL models is a must.
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Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.
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Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a
plus.
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Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.
Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.
Shubham Vishwakarma
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