About this role
Years of experience:
- 5-7 years of Python & Database experience
Skills Required
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Strong proficiency of Python with experience developing production-grade data processing pipelines
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Familiarity with object-oriented programming (OOP)
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Good knowledge of Database concepts and writing SQL queries and Stored Procedures and query optimization
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Expertise in FastAPI framework for building service endpoints and asynchronous processing systems
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Working knowledge of Unix
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Experience with version control tools (preferably Git)
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Writing unit tests (e.g. using pytest)
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Self-starter with ability to work in a fast paced environment and be able to work on multiple projects
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Experience of working in Agile Squads is good to have
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Finance data domain knowledge is also desired
Good to Have:
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Understanding of model performance monitoring, model debugging, and logging systems within AI applications
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Experience with containerization and deployment of ML services in enterprise environments
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Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining
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Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems
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Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation
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Rate range -$50-$55