Role
Design and deploy machine learning systems
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Requirements
Proven experience as a Machine Learning Engineer, Architect or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, PySpark, Scala
Experience of working in a big data environment (Hadoop/AWS).
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills, stakeholder management capability and ability to work in a team
Outstanding analytical and problem-solving. skills
Bachelors in Computer Science, Mathematics or similar field; Master's degree is a plus
Good to have: 4+ years of experience with a bank
(ref:hirist.com,