Description

  • Advanced degree in Computer Science, Engineering, or other STEM field with minimum 2 years of industrial experience 
  • Solid understanding of active and continuous learning methodology and machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning
  • Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
  • Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy.
  • Experience with machine learning, deep learning, reinforcement learning
  • Experience with AI concepts related to RAG architecture, LLMs and Vector Datastores
  • Experience with cloud environments(AWS, Azure, GCP) and big data processing frameworks such as Spark.
  • Ability to learn by doing, to adapt to ever-changing requirements and have a bias for action and outcome
  • Strong written and verbal communication skills

Key Skills
Education

Any Graduate

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