SDAIA
The Senior AI Engineer is responsible in engineering efforts from planning and organization to implementation and delivery for AI solutions. Applying effective and efficient AI & ML technologies and techniques to fulfill stakeholders requirements and mandates.
Responsibilities & Accountabilities:
Design and maintain pipelines.
Analyze and apply relevant AI and ML techniques.
Model training & development, testing, evaluation, and deployment.
Apply software development good practices in developing AI algorithms, such as documentation, modularization, logging and profiling.
Design AI algorithms that are efficient for both batch and real-time inference.
Maintaining code repositories.
Manage individual solutions priorities, deadlines and deliverables.
Implementing AI algorithms.
Keep abreast of latest trends of AI technology.
Apply latest agile project management principles in AI algorithms development.
Keep track of backlogs, software documentation, and model development and experimentation.
Conduct day to day activities while ensuring compliance to policies and procedures
Contribute to the identification of opportunities for continuous improvement of systems, processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement
Establish working relationships with relevant internal stakeholders
Collect feedback from internal stakeholders on issues being faced and other requirements
Contribute to the preparation of progress reports directed to all relevant stakeholders to keep them informed of progress
Job Requirements:
Knowledge & Experience:
Minimum 3 years of experience, preferably AI/ML engineering experience or software development or equivalent experience in ML.
Education:
Bachelor’s Degree in Computer Science, Mathematics, or Engineering or relevant field. Master’s or PhD in Data Science, Electrical Engineering or Mathematics.