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Machine Learning Enginner - W2

Salary undisclosed

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Description:

  • Looking for an experienced Machine Learning Engineer - NOT looking for a Data Scientist from a purely academic background.

TOP 3 must-have skills:

  • Demonstrated experience taking Machine Learning/Depp Learning projects to production
  • Demonstrated experience with Language/Large-Language Models
  • Software Engineering background with Cloud Technologies

Education:

  • Masters(preferred)/Bachelors in Computer Science, Mathematics, Statistics, Engineering, In formation Technology or related

Core Skills:

  • Python along with popular and widely used Python libraries
  • SQL
  • ML models like XGBoost, Random forest, KNN, Time series forecasting, regression, classification
  • Neural Network Architectures, Transformers, ANN, BERT, GPT models, Open Source foundational models(e.g; LLama2/3, Hugging Face).
  • mlFlow
  • Cloud(Azure is valued over AWS/Google Cloud Platform) based ML managed services(e.g; Azure OpenAI, Azure ML).
  • Vector databases, LM/LLM/GEN-AI based tools, libraries and frameworks(e.g; LangChain, Semantic Kernel).
  • Performance evaluation of ML/DL/LLM systems, drift handling, evaluation frameworks, explainability frameworks
  • End to end ML project lifecycle workflows, experience working with MLOps/LLMOps best practices
  • Experience with PySpark/Databricks is valued, not mandatory.
  • Non Technical skills: Great Team player with excellent communication and presentation skills. Self motivated.
  • Experience of taking ML and/or LLM based systems or DL/Neural Network based systems or mixture of experts based systems to production, is highly valued.
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