Job
Description
As an Associate Lead Data Scientist, you will have the exciting opportunity to work with a dynamic team of researchers, data scientists, and developers. Your primary focus will be on developing and optimizing cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Here is a breakdown of your responsibilities: Key Responsibilities: - Develop, optimize, and lead ML, NLP, Deep Learning, and Generative AI model/projects. - Research and implement state-of-the-art algorithms for supervised and unsupervised learning. - Handle large-scale datasets in distributed environments. - Apply the best ML approaches based on an understanding of business processes. - Ensure scalability and performance of ML solutions. - Collaborate with cross-functional teams including product owners, designers, and developers. - Address complex data integration and deployment challenges. - Effectively communicate results through data visualization. - Work in global teams across different time zones. Qualifications Required: - Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. - Proven track record in team handling and leadership. - Proficiency in frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Familiarity with LLMs, model fine-tuning, and prompt engineering. - Skills in Python, R, or Scala for ML development. - Knowledge of cloud-based ML platforms like AWS, Azure, and GCP. - Experience with big data processing using Spark, Hadoop, or Dask. - Ability to scale ML models from prototypes to production. - Strong analytical and problem-solving abilities. If you are passionate about pushing the boundaries of ML and GenAI, we are excited to have you join our team! As an Associate Lead Data Scientist, you will have the exciting opportunity to work with a dynamic team of researchers, data scientists, and developers. Your primary focus will be on developing and optimizing cutting-edge AI solutions in various industries such as commerce, agriculture, insurance, financial markets, and procurement. Here is a breakdown of your responsibilities: Key Responsibilities: - Develop, optimize, and lead ML, NLP, Deep Learning, and Generative AI model/projects. - Research and implement state-of-the-art algorithms for supervised and unsupervised learning. - Handle large-scale datasets in distributed environments. - Apply the best ML approaches based on an understanding of business processes. - Ensure scalability and performance of ML solutions. - Collaborate with cross-functional teams including product owners, designers, and developers. - Address complex data integration and deployment challenges. - Effectively communicate results through data visualization. - Work in global teams across different time zones. Qualifications Required: - Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. - Proven track record in team handling and leadership. - Proficiency in frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. - Familiarity with LLMs, model fine-tuning, and prompt engineering. - Skills in Python, R, or Scala for ML development. - Knowledge of cloud-based ML platforms like AWS, Azure, and GCP. - Experience with big data processing using Spark, Hadoop, or Dask. - Ability to scale ML models from prototypes to production. - Strong analytical and problem-solving abilities. If you are passionate about pushing the boundaries of ML and GenAI, we are excited to have you join our team!
