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Machine Learning Engineer (Computer Vision & Generative AI)
We are looking for a skilled Machine Learning Engineer to design, develop, and deploy advanced AI solutions across computer vision, NLP, and generative AI domains.
Roles and Responsibilities
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Design, build, and deploy machine learning models for computer vision, NLP, and generative AI applications
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Collect, preprocess, and analyze large and diverse datasets to develop robust and scalable models
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Conduct research and experimentation to stay current with emerging AI technologies and improve model performance
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Collaborate with cross-functional teams to integrate ML solutions into production environments
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Optimize models for accuracy, performance, and scalability
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Maintain and continuously improve deployed models based on feedback and performance metrics
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Document workflows, experiments, and results, and communicate insights to stakeholders
Requirements
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Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
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Minimum 3+ years of hands-on experience in machine learning, with a focus on computer vision and generative AI
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Strong proficiency in Python and ML frameworks such as TensorFlow, Keras, and PyTorch
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Experience with OpenCV, LangChain, and generative models including GANs, VAEs, and autoregressive models
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Familiarity with cloud platforms such as AWS, GCP, or Azure is an added advantage
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Excellent communication, teamwork, analytical, and problem-solving skills