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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Recruitment Services |
Functional Area | General / Other Software,Bio Tech / R&D / Scientist |
EmploymentType | Full-time |
SALARY: upto 25 LPA LOCATION : Hyderabad, Telangana, INDIA VACANCIES: 1 QUALIFICATION: Any graduate MALE/FEMALE: Both EXPERIENCE: 10-15 years JOB DETAILS We are looking for creative experts who are interested in applying general machine learning and specifically deep learning techniques to many types of problems, but particularly those with large amounts of noisy data. You will take on the following responsibilities: Develop effective techniques and infrastructure, from the initial idea to the running prototype and product Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to improve our understanding of how financial data influences the world around us Partner with teams across the organisation to implement your ideas into their products Remain connected to the broader research community by partnering with internal and external collaborators and participate in relevant conferences You should possess the following qualifications: Advanced degree in Computer Science, Engineering, or other STEM field Excellent programming skills in Python, C++, Tensorflow, PyTorch or similar languages Internships/work experience with machine learning, deep learning, reinforcement learning Background in machine learning techniques with large amounts of noisy data, curiosity in applying it to financial problems Relevant research experience (publications at NeurIPS, ICML, ICLR or similar are preferred) Experience with cloud environments and multi-machine setups Participation in open source communityFUNCTIONAL AREAApply Now,
Keyskills :
researchhplcchemistryvalidationapibig dataopen sourcedeep learningfinancial datalinear algebramachine learninglinear regressionsignal processingreinforcement learningartificial intelligencejava