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Strong brand, mid-level generalist ML role with broad requirements increases candidate competition.
Python and ML skills are broadly transferable across industries.
Explicit 5+ years, mandatory Python and AI/ML experience, plus data and DevOps skills raise filter strictness.
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Design and develop scalable, high-performance Python software solutions integrating AI/ML technologies such as RAG architectures and intelligent automation.
Collaborate with data engineers for large-scale data processing and DevOps teams to ensure reliable application deployment and CI/CD pipelines.
Conduct code reviews, troubleshoot complex issues, maintain technical documentation, and support stakeholders via demos and training.
Bachelor's or master's degree in computer science, Engineering, or a related field.
5+ years of software development experience with strong Python expertise.
Proven experience in AI/ML development and integration.
Knowledge of modern data lake/warehouse technologies and DevOps practices.
Experienced in operating across software development, AI/ML integration, and collaborative environments involving data engineering and DevOps teams.
Demonstrates ability to implement complex AI architectures linked with business collaboration tools like Jira and Confluence.
Comfortable leading engineering best practices including code reviews and agile continuous improvement processes.