Associate, Machine Learning Engineer, Investment and...
Published date: 2026/11/07
- Location: Hyderabad, Telangana, India
Business Function
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation.
In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Responsibilities
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Extend existing ML libraries and frameworks
Requirements
• Good understanding and knowledge in Python and libraries like NumPy & Pandas
• Good knowledge of math, probability, statistics and algorithms
• Good Understanding of UNIX
• Good Knowledge in NLP, Regression and clustering
• Good knowledge in any MLOPS frameworks
• Knowledge in Kedro
• Deep Learning modelling
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation.
In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Responsibilities
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Extend existing ML libraries and frameworks
Requirements
• Good understanding and knowledge in Python and libraries like NumPy & Pandas
• Good knowledge of math, probability, statistics and algorithms
• Good Understanding of UNIX
• Good Knowledge in NLP, Regression and clustering
• Good knowledge in any MLOPS frameworks
• Knowledge in Kedro
• Deep Learning modelling
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