Responsibilities :
- Evaluating and improving DL / ML training sets and associated workflow processes
- Evaluating and improving DL / ML learning model performance
- Comparing and assessing various DL / ML learning models
- Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e.,
extracting information from noisy images)
Working with local and global teams in all phases of product lifecyclesWorking with product engineering teams to define performance specifications and deliver to those specificationsProviding technical support during product demos and beta testing, working with domain experts from otherfunctional teams on customer engagement Qualifications :
Strong background in at least one of the following areas : image processing, computer vision, pattern recognitionExcellent mathematical and analytical skillsProficiency in C / C++, Python, Linux shell scripting, and object-oriented programmingAbility to learn / work with source code control softwareGood oral and written communications skillsAbility to manage multiple tasks and prioritize Qualifications (Below 8 years) :Doctorate (Academic) Degree and 0 years related work experience;Master's Level Degree and related work experience of 3 years;Bachelor's Level Degree and related work experience of 5 to 8 yrs) :Phd with 0 yrs industry exp or M.Tech+3 yrs or B.tech+ 5 yrsCandidates with PhD + 0 or less than 3 yrs is acceptable only if the PhD is from Tier 1 college.Algorithm development - Min 5 yrsComputer vision- Min 3 yrsImage processing- Min 3 yrsC++ / Python - Min 5 yrsExperience from product company mandatory (Current or Past)(ref : hirist.tech)