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SayPro Software Developer Artificial Intelligence Consulting Service
SayPro SayPro
Job Detail
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Job ID 181038
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Qualifications Bachelor Degree
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Industry Research, science & technology
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Reference REF NO: 312089
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Centre Pretoria
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EnquiriesFor more info, please email us at [email protected] Please do-not send your application to this mailbox, it is only for inquiries.
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Where to submit application
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NotesPLEASE NOTE THAT FEEDBACK WILL BE GIVEN TO SHORTLISTED CANDIDATES ONLY.
Job Description
Key responsibilities: Develop innovative solutions in AI and remain well-versed in new technologies in the evolving AI space; Supervise/mentor junior staff in the area(s) of expertise; Generate and contribute towards science engineering and technology (SET) activity outputs e.g. reports, guidelines, system requirements, peer-reviewed publications, and technology and software packages; Understand and interpret client requirements by contributing to user requirement analysis and/or well-articulated proposals; Remain current in field of expertise with respect to new approaches in tools, methods or technologies; Participate in external task teams or committees in relevant domains; Qualifications, skills and : A Bachelors degree in computer science/engineering, electrical/electronic engineering, information technology or related field with at least three years in Artificial Intelligence/Machine Learning and software development in Artificial Intelligence Technologies; An Honours or a Masters degree will be ous; All international qualifications require an evaluation report / certificate issued by the South African Qualifications Authority (SAQA). Experience in the following: – Applied machine-learning with regression, classification, etc. models for supervised learning; – Big-data unsupervised learning; – Data platform engineering; – Demonstrated in bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into large-scale production system certain advanced ML and applied ML algorithms; – Cloud-based platforms: AWS, IBMCloud, Azure; – Proficiency and building AI models with a deep learning framework such as TensorFlow, Keras or Theano; – Ability to select hardware to run an ML model with the required latency; Exposure to Project Management; Understanding of transforming/implementing software/algorithms for use in real-life systems would be ous; Knowledge of programming in modern object orientated languages, with Open Source development tools and platforms; Ability to demonstrate Object-orientated software engineering skills; Strong quantitative skills (mathematics/statistics/computer science); Demonstrated ability to supervise/mentor/develop junior staff; Demonstrated skills in: analytical thinking, flexibility and adaptability, investigative orientation, planning and organising, problem solving, verbal and written communication, teamwork, self-management (planning, prioritising and time management includes the ability to work independently), systems level thinking, multi-disciplinary knowledge.
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