Responsibilities: 

• Coordinating with development teams to determine application requirements.
• Writing scalable code using the Python programming language. 
• Designing and developing the Machine Learning System by implementing appropriate Machine Learning Tools and Algorithms. 
• Training and retraining the ML system as needed and tune their hyperparameters.
• Performing statistical analysis and use result to improve models 
• Using the quality datasets either by asking stakeholders or by doing the appropriate search. 
• Testing and debugging applications. 
• Developing back-end components and publishing API 
• Assessing and prioritising client feature requests. 
• Integrating data storage solutions.
• Coordinating with front-end developers.
• Reprogramming existing databases to improve functionality. 

Requirements: 

• A positive, collaborative, and solution-oriented approach. 
• Expert knowledge of Python and related frameworks and libraries - Django, Flask, Numpy. 
• A deep understanding of multi-process architecture and the threading limitations of Python. 
• Knowledge of Python and Machine Learning frameworks, libraries, data structures and architectures - Keras, Pytorch, Scikit-Learn, OpenCV 
• Good understanding and strong knowledge in algorithms and statistics
• Ability to integrate multiple data sources into a single system. 
• Familiarity with testing tools/frameworks and libraries.
• Ability to collaborate on projects and work independently when required. 
• Proficient understanding of code versioning tools, such as Git. 
• Knowledge/experience working within an Agile environment with a scrum mindset. 
• Excellent communication, presentation, and interpersonal skills. 

Minimum Qualification: 

• Minimum 4 years of experience as a Machine Learning Engineer - Using Python.
• Bachelor's/Master’s degree in computer science, engineering, information technology, or an equivalent field.

Salary: Provided based on experience and expertise. No bar for deserving candidates. 

Source: Merojob

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