Data Scientist

As an experienced Machine Learning Engineer, your primary responsibility will be to develop and implement advanced ML models in areas such as computer vision, NLP, and generative AI. You will work on collecting, preprocessing, and analyzing diverse datasets to create robust models. Staying updated with the latest research and experimenting with new techniques to enhance model performance will be crucial. Collaboration with cross-functional teams to integrate machine learning solutions into production systems is essential. Additionally, you will be optimizing models for speed, accuracy, and scalability, continuously improving them based on feedback. Keeping detailed documentation of processes and effectively communicating findings to stakeholders will also be part of your role. Qualifications required for this role include a Bachelor's or Master's degree in computer science, Data Science, or a related field. You should have at least 3 years of hands-on experience in machine learning with a focus on computer vision and generative AI. Proficiency in Python, TensorFlow, Keras, PyTorch, OpenCV, Langchain, and experience with generative models like GANs, VAEs, and autoregressive models is necessary. Familiarity with cloud platforms such as AWS, GCP, and Azure will be an added advantage. Soft skills like excellent communication, teamwork, problem-solving, and critical-thinking abilities are also required for this role.,