Algorithm Engineer

Job Description

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.] Example: Determine and develop user requirements for systems in production, to ensure maximum usability Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills Job Description The successful candidate will join a world-class team of algorithm and software engineers to design deep learning, machine learning, image processing and related algorithms for wafer inspection and metrology applications. 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. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.) Detailed responsibilities include: 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 object-oriented programming Ability to learn/ work with source code control software Good oral and written communications skills Ability to manage multiple tasks and prioritize workMinimum 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 years Must-Haves Experience(5 to 8 yrs) Phd with 0 yrs industry exp or M.Tech+3 yrs or B.tech+ 5 yrs Candidates with PhD + 0 or less than 3 yrs is acceptable only if the PhD is from Tier 1 college. Algorithm development - Min 5 yrs Computer vision- Min 3 yrs Image processing- Min 3 yrs C++/Python - Min 5 yrs Experience from product company mandatory (Current or Past) No gaps in organisation No job hoppers(candidate must have good stability, min 2 years in an organisation) No Poach - HCL (current company must not be HCL) No Poach Clients (Plus Other Strict No-Nos) HCL Nice To Haves Target Companies : only product companies Additional Guidelines Interview Process: 3 Tech rounds, Fitment round, HR round. Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate. Skills: object-oriented programming,computer vision,c++,machine learning,processing,pattern recognition,c,skills,deep learning,teams,linux shell scripting,learning,image processing,python,ml Show more Show less