Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Computer Vision
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : BE
br/>Key Responsibilities : Methods for acquiring,processing,analyzing and understanding imagesDevelop algorithms and applications related to image processing that perform functions such as object identification and classificationReview and integrate all application requirements,including functional,security,integration,performance,quality,operations requirements Review,integrate the Technical Architecture requirements Provide input into final decisions regarding hardware, network products, system software and security br/>Technical Experience : 1 Open source ML libraries and tools like Apache Mahout, Apache Spark 2 Torch / Theano / Sound understanding in the areas of Computer Vision / Pattern Recognition Strong background in Data Science, data structures, statistics , algorithms like Regression, Classification etc Must have Skills : 1 Image Recognition / TensorFlow / OpenCV 2 Deep-learning Neural Networks skills in Python / Python / Hands-on experience in varied Neural Network Models br/>Professional Attributes : Good in communication Good in Team Handling
BE
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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