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Tier-1 brand, mid-level role, and metro location increase competition.
GenAI and ML skills transfer easily across industries with minimal finance-specific requirements.
Mandatory ML/LLM, Python, TensorFlow, and Spark skills create stringent technical filters.
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Participate in development and implementation of new or revised application systems and programs within the Technology team.
Design, develop, test, debug, and enhance applications with a focus on machine learning, deep learning, and large language model-based systems.
Serve as SME, advising stakeholders and coaching junior analysts while operating with limited supervision.
Bachelor’s degree or equivalent experience required.
Experience designing and developing scalable machine learning systems including training, inference, monitoring, and iteration.
Proficiency in Python, SQL, Spark/PySpark, TensorFlow or similar analytical/model-building languages and tools including LLMs.
Work Experience Required: Not explicitly mentioned in the JD.
Intermediate-level developer with solid experience in ML/DL/LLM algorithms, model architectures, and training techniques.
Comfortable independently handling technical issues and providing solutions in application development environments.
Experience with GenAI/LLMs, Google ADK projects, and distributed data/computing tools like Hadoop, Hive, Spark, MySQL.