Position Overview
Responsibilities - Work with large and complex data sets to solve challenging business problems
- Collect, clean, and preprocess large datasets for analysis & model training
- Perform exploratory data analysis (EDA) to uncover insights and inform model development
- Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks
- Build end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment
- Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools
- Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions
Qualifications - 5+ years of experience in data science, machine learning, or AI
- Expertise in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs). ...