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Popular Python/ML role, mid-level experience requirement and metro location create high candidate competition.
Python, data-pipeline and ML skills are transferable across industries but require ML domain knowledge.
Explicit 3–5 years, bachelor's degree and ML library requirements create moderate hiring filters.
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Develop, test, and maintain scalable Python software and data engineering pipelines supporting machine learning and back-end performance.
Participate in code reviews to ensure high-quality code and collaborate with cross-functional teams to deliver and prioritize technical solutions and features.
Engage in the full software development lifecycle (SDLC) from design to deployment of complex applications using Python frameworks and tools.
3-5 years experience as a Python developer with a strong portfolio of projects.
Bachelor’s degree in computer science or related field.
In-depth knowledge of Python and associated frameworks/tools (e.g., NumPy, Pandas, SciPy, PyTorch).
Proficiency with front-end technologies (HTML, CSS, JavaScript) and familiarity with database tools (SQL, NoSQL).
Experienced in building data engineering pipelines and back-end components to support machine learning.
Skilled in integrating and debugging complex software systems within a collaborative environment.
Familiarity with Python frameworks such as Django and Pyramid and concepts in data science, AI, and cloud platforms is advantageous.