Data Scientist

You will be part of a dynamic team of researchers, data scientists, and developers as an AI/ML Developer. Your primary responsibility will involve working on cutting-edge AI solutions in various industries like commerce, agriculture, insurance, financial markets, and procurement. Your focus will be on developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be required to research and implement advanced algorithms for supervised and unsupervised learning. Additionally, you will work with large-scale datasets in distributed environments and understand business processes to select and apply the most suitable ML approaches. Ensuring the scalability and performance of ML solutions will also be a crucial part of your role. Collaboration with cross-functional teams, such as product owners, designers, and developers, will be essential. You will be expected to solve intricate data integration and deployment challenges while effectively communicating results using data visualization. Working in global teams across different time zones will also be part of your job scope. To be successful in this role, you should possess strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is required. Experience with LLMs, model fine-tuning, and prompt engineering will be beneficial. Proficiency in Python, R, or Scala for ML development is necessary, along with knowledge of cloud-based ML platforms such as AWS, Azure, and GCP. Experience with big data processing using tools like Spark, Hadoop, or Dask is also preferred. Your ability to scale ML models from prototypes to production and your strong analytical and problem-solving skills will be highly valued. If you are enthusiastic about pushing the boundaries of ML and GenAI, we are excited to hear from you!,