ML Engineer Computer Vision

1. Research and Development: Conduct indepth research to identify stateoftheart machine learning algorithms computer vision techniques and audio processing methods relevant to video and audio editing applications. Stay uptodate with the latest advancements in the field and apply
them to improve our products.
2. Feature Implementation: Utilize your expertise in machine learning to design and develop innovative features
3. Data Preprocessing: Process and preprocess largescale multimedia datasets to extract meaningful insights and create training data for machine learning models. Address challenges related to data quality diversity and distribution.
4. Model Training and Optimization: Build train and finetune machine learning models for various tasks ensuring their efficiency accuracy and robustness. Optimize models for deployment on resourceconstrained devices considering factors like inference speed and memory usage.
5. Integration and Deployment: Collaborate with the development team to seamlessly integrate ML driven features into the existing video and audio editing apps. Ensure that the implementations are userfriendly and complement the overall user experience. Should have knowledge Audio and Video Processing.
6. Performance Evaluation: Conduct thorough evaluations and performance tests to validate the effectiveness of ML algorithms and features. Analyze results and iteratively improve the models based on user feedback and realworld usage.
7. Collaboration and Communication: Work closely with crossfunctional teams including software engineers designers product managers and quality assurance to deliver highquality solutions and ensure successful project outcomes.

Required Skills and Qualifications:
1. Education: Bachelor;s degree in Computer Science Electrical Engineering Machine Learning or a related field.

Must Have :
1. Experience: Demonstrated experience in designing developing and deploying machine learning models for computer vision and/or audio processing applications. Proven experience with frameworks such as TensorFlow PyTorch or Keras.
2. Programming Skills: Proficiency in Python and familiarity with relevant libraries and tools for machine learning and data processing (e.g. NumPy Pandas).
3. Video and Audio Processing/Editing Knowledge: Solid understanding of video and audio editing concepts and workflows including file formats codecs and editing techniques.

Computer Vision:
AI Knowledge : Good to Have
Loc: Noida(Preferred) Bangalore
Exp: 48 Years
NP: 30 Days/Immediate