Data Scientist

Strong knowledge of statistical analysis, machine learning, and deep learning

. Developing advanced algorithms and models to extract valuable insights from complex datasets, with a focus on generative AI and large language models (LLMs)

. Utilizing cloud-based AI services (e.g., AWS, Azure, GCP) to build scalable and efficient AI solutions.

. Implementing MLOps, LLMOps, AgentOps practices for model or agent deployment, monitoring, and management.

. Proficiency in Python or R, along with relevant libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).

. Proficiency in production implementation of AI models in NLP, Vision, Forecasting streams.

. Experience in developing and deploying AI/Gen AI based systems in production.

. Knowledge of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit

• Mentoring junior data scientists and providing technical guidance