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
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