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Urgent! DAZN - Data Scientist - Generative AI Job Opening In Hyderabad – Now Hiring DAZN

DAZN Data Scientist Generative AI



Job description

<p><p>Job Title : Data Scientist.<br/><br/> Location : Hyderabad.<br/><br/> Work Mode : Work from Office.<br/><br/> Seeking Immediate Joiners only.</p><p><b><br/></b></p><p><p><b>Job Summary : </b></p><p><br/> We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI).</p><br/> The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).<br/><br/> You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI.<br/><br/> You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems.<br/><br/> If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!</p><p><b><br/></b></p><p><b>Key Responsibilities : </b><br/><br/> - Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases.<br/><br/> - With an Overall experience of (2-6 Years).<br/><br/> - Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.<br/><br/> - Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into Skills : </b></p><br/> - Machine Learning Frameworks : Proficiency in Scikit-learn, TensorFlow or PyTorch.<br/><br/> - Deep Learning : Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.<br/><br/> - Generative AI : Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.<br/><br/> - Programming : Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.<br/><br/> - Data Handling : Experience working with structured and unstructured data, including text, images, and to have Skills : </b></p><p><br/> - Exposure to tools like Hugging Face Transformers for working with LLMs.</p><br/> - Understanding of MLOps practices, including CI/CD pipelines for ML models.<br/><br/> - Experience with GPU-accelerated computing.<br/><br/> - Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).<br/><br/>- Cloud Platforms : Familiarity with cloud services like : </b><br/><br/> - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.<br/><br/> - 3 to 6+ years of professional experience in Machine Learning and Deep Learning.<br/><br/> - Proven track record of deploying ML/DL models in production environments.</p><br/></p> (ref:hirist.tech)


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