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Mid-level ML/backend role with generalist requirements and moderate brand presence, yielding medium competition.
Python backend and ML skills transfer across industries but require ML-specific experience, medium sensitivity.
Explicit 3–5 years plus mandatory Django, ML frameworks, cloud, Docker and CI/CD increases selection rigidity.
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Develop, maintain, and optimize backend web applications using Python with Django or Flask frameworks.
Integrate and deploy AI/ML models into production systems using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Design and implement scalable RESTful APIs and manage database systems supporting AI/ML workflows.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
3 to 5 years of professional experience in Python development.
Strong expertise in Django or Flask frameworks, database management (PostgreSQL, MySQL, MongoDB), and API development.
Hands-on experience or working knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and familiarity with cloud services (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
Experienced backend engineer with applied knowledge integrating AI/ML models into scalable production environments.
Proficient in building secure, performant architectures suited for AI-driven applications and managing complex data handling.
Capable collaborator working closely with data science and product teams to deliver AI-powered features under fast-paced conditions.