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Requirements 

  • 4+ years of experience working as data scientist with the function of machine learning engineer.
  • Up-to-date knowledge of machine learning and data analytics tools and techniques.
  • Experience working with ML, deep learning models.
  • Experience deploying ML/deep learning models on cloud platforms.
  • Experience with docker and Kubernetes.
  • Strong knowledge of SQL, NoSQL databases.
  • Experience working with cloud platforms such as Azure, GCP, AWS.
  • Strong foundation in data pipelining, streaming.
  • Strong communication- and problem-solving skills and a strong team player.

  

Preferred candidate

  • Bachelor’s or master’s degree in computer science.
  • 5+ years of programming in python.
  • 4+ years working experience with Azure products such as function apps, event hub, blob storage, AKS etc.
  • Experience working with tensor flow, PyTorch and Keras.
  • Experience with docker and Kubernetes.
  • Worked on projects related to Data, ETL pipelines (Airflow etc.).
  • Worked on deploying deep learning models at scale on cloud.
  • Strong knowledge of SQL databases.
  • Proficiency in machine learning algorithms such as multi-class classifications, decision trees, XGBoost and deep learning.
  • Experience in NLP/prompt engineering/GPT is a plus.
  • Experience in fine-tuning LLM is a plus.

 

Skills

  • Ability to write efficient codes following software engineering standards.
  • Up-to-date knowledge of machine learning and data analytics tools and techniques.
  • Analytical and critical treatment of data while applying probability and statistics to real-world situations.
  • Strong knowledge in predictive modeling methodology.
  • Experienced at leveraging both structured and unstructured data sources.
  • Willingness and ability to learn new technologies on the job.
  • Demonstrated ability to communicate complex results to technical and non-technical audiences.
  • Demonstrated ability to work with minimal supervision.

 Education Requirements

Bachelor's degree in data science, applied mathematics, computer science or otherwise research-based field; Master’s degree preferred.

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