Sit at the intersection of software engineering and data science.
Leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models that are ready to scale as needed.
Prior experience with machine vision and machine learning in financial services is essential.
Key Responsibilities:
Perform statistical analysis
Fine tuning test results
Train and retrain systems
Work on frameworks
Undertaking machine learning experiments and test
Designing machine learning programs
Developing deep learning systems to various use cases based on the business needs and
Implementing suitable AI/ML algorithms
Skill Requirements:
Knowledge on basics of math and probability
Good understanding and strong knowledge in algorithms and statistics
Appreciation of data modelling, software architecture and data structures and
Past experience of working in frameworks in last job or internship
Preferred degree in Computer Science, Mathematics or similar courses or fields A demonstrated experience of working in Machine Leaning Jobs before is an added advantage