ML Engineer Computer Vision
2 weeks ago
1. Research and Development: Conduct indepthresearch to identify stateoftheart machine learning algorithmscomputer vision techniques and audio processing methods relevant tovideo and audio editing applications. Stay uptodate with the latestadvancements in the field and apply
them to improve ourproducts.
2. Feature Implementation: Utilize yourexpertise in machine learning to design and develop innovativefeatures
3. Data Preprocessing: Process and preprocesslargescale multimedia datasets to extract meaningful insights andcreate training data for machine learning models. Addresschallenges related to data quality diversity anddistribution.
4. Model Training and Optimization: Buildtrain and finetune machine learning models for various tasksensuring their efficiency accuracy and robustness. Optimize modelsfor deployment on resourceconstrained devices considering factorslike inference speed and memory usage.
5. Integrationand Deployment: Collaborate with the development team to seamlesslyintegrate ML driven features into the existing video and audioediting apps. Ensure that the implementations are userfriendly andcomplement the overall user experience. Should have knowledge Audioand Video Processing.
6. Performance Evaluation: Conductthorough evaluations and performance tests to validate theeffectiveness of ML algorithms and features. Analyze results anditeratively improve the models based on user feedback and realworldusage.
7. Collaboration and Communication: Work closelywith crossfunctional teams including software engineers designersproduct managers and quality assurance to deliver highqualitysolutions and ensure successful project outcomes.
Required Skills andQualifications:
1. Education:Bachelor;s degree in Computer Science Electrical EngineeringMachine Learning or a related field. Must Have:
1. Experience: Demonstratedexperience in designing developing and deploying machine learningmodels for computer vision and/or audio processing applications.Proven experience with frameworks such as TensorFlow PyTorch orKeras.
2. Programming Skills: Proficiency in Python andfamiliarity with relevant libraries and tools for machine learningand data processing (e.g. NumPy Pandas).
3. Video andAudio Processing/Editing Knowledge: Solid understanding of videoand audio editing concepts and workflows including file formatscodecs and editing techniques. ComputerVision:
AI Knowledge : Good toHave
Loc: Noida(Preferred) Bangalore
Exp: 48Years
NP: 30 Days/Immediate
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