Description:
- Fetch and process data from BigQuery and various sources for model development.
- Build and deploy models using Python and frameworks such as Scikitlearn, XGBoost/CatBoost, TensorFlow, Keras, and Gemini.
- Implement and work with a wide range of ML algorithms, including Regression, Classification, Forecasting, Unsupervised Learning, and Natural
Language Processing.
- Develop and deploy computer vision solutions, including preprocessing of image and video data.
- Utilize and fine-tune state-of-the-art language models (LLMs) and foundation models for specific tasks and applications.
- Implement advanced AI technologies like Retrieval-Augmented Generation (RAG) and function calling to enhance LLM capabilities.
- Build and maintain ML models in production for both real-time and batchbased use cases.
- Conduct exploratory data analysis and feature mining across structured and unstructured data sources.
- Develop and implement evaluation metrics to measure ML and LLM model performance and effectiveness.
- Apply CI/CD & MLOps best practices for model deployment and automation of ML pipelines & monitoring.
- Stay up-to-date with the latest advancements in machine learning, GenAI, and related AI/ML technologies.
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