Sr. Machine Learning Engineer

• 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