AI Machine Learning Engineer

Role & responsibilities

• Should possess extensive knowledge of and experience in applying data mining and machine learning, deep learning techniques in a professional context
• Excellent knowledge in Python, Tensor Flow, Keras and GPU Training
• Experience in Java would be a plus
• Thorough knowledge of data structures, algorithms, profiling/optimization, and object-oriented and functional programming
• Should be an individual player who have done individual assignments in past in AI Machine Learning
• Ability to take endto-end ownership of projects
• Strong theoretical understanding of probability theory and machine learning
• Ability to juggle between multiple projects
• Developing machine learning applications according to requirements
• Selecting appropriate data sets and data representation methods
• Performing statistical analysis and fine-tuning using test results
• Training and retraining systems when necessary
• Build and manage pipelines to collect and process data at scale
• Coordinate with internal teams to understand requirements
• Write highly efficient and optimized code that is easily scalable
• Adherence to coding and quality standards
• Develop frameworks to help operationalize new and existing products
• Anticipate issues that might arise and proactively consider those into design
• Perform code reviews and suggest design changes
• Work independently with little to no supervision
• Manage individual projects priorities, deadlines and deliverables with your technical expertise.