Data Scientist (Python Django)

Remote (US Shift)

Requirements

• Strong programming in

  Python

  with hands-on

  Django/Flask

  experience.
• Expertise in

  Machine Learning, Deep Learning, NLP, and Computer Vision

  (TensorFlow/PyTorch, scikit-learn).
• Familiarity with

  Generative AI, LangChain, RAG, LLMs

  preferred.
• Knowledge of

  SQL/NoSQL databases

  ,

  API development

  , and

  data visualization

  (Power BI/Tableau).
• Experience with

  MLOps/DevOps tools

  – Docker, Kubernetes, MLflow, Git, Azure.
• Strong analytical, problem-solving, and communication skills.
• Degree in

  Data Science, Computer Science, or related field

  (Master’s preferred).

Responsibilities

• Develop, deploy, and maintain

  AI/ML models

  using Python and Django.
• Build scalable

  data pipelines and APIs

  integrating ML models into production.
• Work across domains such as

  NLP, Computer Vision, and Generative AI

  for real-world solutions.
• Perform

  data preprocessing, model training, and performance tuning

  .
• Collaborate with cross-functional teams for

  AI product development

  and insights.
• Automate workflows and ensure

  robust, reproducible, and efficient

  ML systems.
• Implement

  MLOps practices

  (Docker, MLflow, Kubernetes, Azure).
• Document model architectures, maintain version control, and support deployment.