Job Description

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). ...

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