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Tier-1 brand, mid-level experience, metro location, and broad skillset create high applicant competition.
Specialized ML/LLM expertise required makes the role domain-specific with limited cross-industry transferability.
Explicit 4-6 years plus mandatory AI/LLM, Python, Django, cloud and Databricks skills leads to high strictness.
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Develop and maintain Python scripts for data extraction, cleaning, transformation, and automation supporting business analytics.
Participate in all software development lifecycle phases and provide coaching to junior developers.
Build data ingestion and process automation tools using Python and related technologies, integrating with databases and external APIs.
4 to 6 years of experience in Python development with hands-on use of Python and relevant frameworks.
Experience in CI/CD automation using scripting languages such as Python, Ruby, and Bash.
Proficiency in AI technologies including deep neural networks, natural language understanding, machine learning, and familiarity with frameworks like Django.
Knowledge of data engineering tools such as Databricks, Delta Lake, and Azure, with strong SQL and relational database skills.
Experienced in full-stack development combining AI (LLM, RAG), machine learning, and data engineering tools.
Capable of independently handling end-to-end development including automation and integration with multiple data sources.
Strong programmer comfortable across Python, Java, C++, and scripting languages used in big data and data science environments.