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Tier-1 brand, mid-level ML/SDE role with broad Python/ML/DevOps requirements attracts many applicants.
Requires ML and Big Data expertise, moderately transferable across industries with ML focus.
Mandatory AI/ML, Big Data, Python expertise plus 2+ years makes filters strict.
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Design, develop, and maintain scalable Python-based software solutions integrating AI/ML models, focusing on RAG techniques.
Collaborate with data engineers to process and analyze Big Data using data lakes, warehouses, or lakehouses, and work with DevOps for application deployment.
Conduct code reviews, troubleshoot complex software issues, and participate in agile development cycles.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 2 years of software development experience with strong Python skills.
Proficiency in AI/ML techniques, specifically RAG, and Big Data analytics experience.
Understanding of DevOps practices including version control and CI/CD pipelines.
Experienced in collaborative agile environments, working closely with DevOps and data engineering teams.
Demonstrates ability to integrate AI/ML models into production software with focus on scalability, performance, and security.
Skilled in problem-solving complex software challenges within Big Data and cloud-based contexts.