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Tier-1 brand, metro location, and popular ML/GenAI mid-level role increase competition.
Core ML/LLM skills are transferable, but banking compliance and domain context moderately reduce portability.
Mandatory ML/LLM expertise and specific Python/TensorFlow/Spark stack within a regulated bank raise strictness.
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Contribute to design, development, and implementation of application systems and programs, including system enhancements and programming solutions.
Analyze applications for vulnerabilities and security issues, perform testing and debugging to maintain system integrity.
Act as a subject matter expert advising stakeholders and coaching junior analysts while operating with limited supervision.
Bachelor’s degree or equivalent experience required.
Proficiency in Python, SQL, Spark, PySpark, TensorFlow or similar programming and analytical/model-building languages.
Experience designing and developing scalable, reliable machine learning systems, including ML/DL/LLM algorithms and training techniques.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with GenAI/LLMs and Google ADK projects or similar AI frameworks and tools.
Familiarity with distributed computing and data tools such as Hadoop, Hive, Spark, and MySQL.
Capable of independent operation with sound technical judgment and prior experience advising senior stakeholders and mentoring junior team members.