Job description

Qualifications • Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field. • 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. • Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). • Experience in building Asynchronous Python APIs. • Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. • Proven experience in developing and deploying machine learning models in a production environment. • Experience working with large datasets and performing data analysis. • Previous experience in a similar role or industry is preferred. • Excellent communication and collaboration skills. • Strong problem-solving skills and analytical thinking • Passion for learning and staying up-to-date with the latest advancements in AI field

Requirements