Job Description

  • Classic Machine learning (Regression, predictive Analysis, Classification, Clustering)
  • Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.






  • Machine learning Model Optimisation
  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
  • Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.
  • Experience in Natural Language Processing (NLP) and/or Computer Vision.
  • Strong knowledge of Machine Learning algorithms and statistics.
  • Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).

Preferred Skills


  • Experience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).
  • Experience building AI APIs and microservices.

...

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