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Established employer and in-demand ML title increase competition, but seniority and niche skills moderate applicant density.
Specialized ML engineering skills required but transferable across industries, creating moderate background sensitivity.
Explicit 8+ years and mandatory ML/Python expertise make shortlisting highly stringent.
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Design, develop, and maintain scalable Python applications integrated with AI/ML models for enterprise use cases.
Build, train, optimize, and integrate AI/ML models into applications, APIs, and workflows.
Collaborate with data scientists, architects, and business teams to deliver automation-driven intelligent solutions and support enterprise applications.
5+ years of experience as a Python + AI Developer.
Strong hands-on experience with Python programming and AI/ML concepts including supervised and unsupervised learning, classification, regression, and clustering.
Proficiency with Python libraries such as NumPy, Pandas, and Scikit-learn; experience with SQL and relational databases.
Bachelor's degree in Computer Science, IT, Engineering or related field.
Experienced in deploying AI/ML models in production environments with understanding of model evaluation and tuning techniques.
Familiarity with API development (Flask / FastAPI / Django) and MLOps or deployment workflows is advantageous.
Comfortable working in a collaborative, agile setting with cross-functional teams including DevOps and business stakeholders.