A key qualification of the candidate is the ability and passion to create new ideas analyze complex systems formulate mathematical solutions and implement machine learning workflows that are practical for use in production.
Detailed responsibilities include:
*APPLICANTS FROM premier institute preferred*
- 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 lifecycles
- Working with product engineering teams to define performance specifications and deliver to those specifications
- Providing technical support during product demos and beta testing working with domain experts from other functional teams on customer engagement projects
- Minimum Qualifications
- Preferred Qualifications
- Strong background in at least one of the following areas: image processing computer vision pattern recognition
- Excellent mathematical and analytical skills
- Proficiency in C/C Python Linux shell scripting and objectoriented programming
- Ability to learn/ work with source code control software
- Good oral and written communications skills
- Ability to manage multiple tasks and prioritize work
- Minimum Qualifications
- New college graduates to 2 Years in any of the following degree: Ph.D. Dual Degree Masters or Bachelors from tier 1 colleges (Candidates from EE CS and Mathematics background would be preferred)
- The candidate is expected to possess good oral and written communications skills and domestic or international travel involved for up to 20%
python,computer vision,artificial intelligence,object-oriented programming,c++,c/c++,c,pattern recognition,ml,linux shell scripting,image processing