Data scientist
2 months ago
He/she interprets and analyzes data from multiple sources to come up with imaginative solutions to problems.
He/she builds AI models and applications which solvereal complex banking business problems.
Job Responsibilities: Machine Learning Engineer with strong knowledge of Python and cloud based deployments Build, train and deploy models for inferencing and build surrounding APIs to access them on cloud and on-prem.
You will be part of hands-on team developing ML based applications for the bank using various ML techniques You will be required to build and deply ML applications in cloud using NLP, LLMs and other supervised learning techniques.
You will be required to efficiently understand the data domain of the bank to perform EDA and MI report.
And eventually designing and developing ML application on the data for multiple programs.
Certified in at least one cloud, preferably AWS or GCP.
Key Skills : Machine Learning Engineer with strong knowledge of Python and cloud based deployments Strong knowledge of EDA, NLP, Topic Modeling, NER, Embedding models and Semantic Search based techniques Have working knowledge of LLMs via APIs like Open AI and deploying open source LLMs like LLAMA2 and FLAN T5 etc.
Strong knowledge of Lang Chain framework and Fast API of python is a must have.
Knowledge of runtimes like ONNX, Quantization, QLORA techniques Working experience of Cloud preferably Azure.
Understanding of MLOps frameworks is a big plus.
Experience: 8- 15 years proven experience as a Data Scientist or Machine Learning Engineer
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