Ai Specialist

2 weeks ago

Johannesburg, Gauteng, South Africa Dash BPO Full time

Job Overview:

Key Responsibilities

  • Develop and integrate innovative solutions in AI/ML and remain up to date with new technologies, industry trends, and AI concepts.
  • Design, develop and implement AI systems into an existing technology architecture and infrastructure.
  • Supervise/mentor junior staff in the area(s) of expertise.
  • Understand and interpret client requirements by contributing to requirement analysis and/or wellarticulated proposals.
  • Come up with innovative ideas and solutions that can solve clients' current challenges and future opportunities that may not be clearly identified by the client.
  • Stay current in the area of expertise with respect to new approaches in technologies, methods, or AI concepts.
  • Partner with internal stakeholders and departments such as quality, operations, workforce and human resources to implement new technologies.

Qualifications, Skills, and Experience

  • A bachelor's degree in computer science/engineering, electrical/electronic engineering, information technology or related field with at least five years in integrating sophisticated systems into complex environments '
  • Experience in Artificial Intelligence/Machine Learning and software development in Artificial Intelligence Technologies.
  • Experience in the following:
  • Applied machinelearning with regression, classification, and models for supervised learning.
  • Natural language processing and understanding, large language models.
  • Building multimodal models.
  • Analyzing and transforming unstructured data into useful information and knowledge artifacts that can be shared.
  • Bigdata unsupervised learning.
  • Data platform engineering.
  • Demonstrated experience in bringing theoretical machinelearning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into largenscale production systems.
  • Solid understanding of how to leverage advanced ML and applied ML algorithms.
  • Implementing, administering, and integrating with cloudbased platforms: AWS, IBM Cloud, Azure.
  • Proficiency and experience building AI models with a deep learning framework such as TensorFlow, Kera's or Theano.
  • Ability to select and procure hardware solutions to run ML models with the required performance and latency thresholds.
  • Knowledge of programming in modern object
- orientated languages, with Open-Source development tools and platforms.

  • Strong quantitative skills (mathematics/statistics/computer science).
  • Demonstrated ability to supervise/mentor/develop staff and colleagues.
  • Demonstrated skills in analytical thinking, flexibility, and adaptability.
  • Investigative orientation, planning and organizing, problem solving,
  • Verbal and written communication,
  • Teamwork, selfmanagement (planning, prioritizing and time management includes the ability to work independently), systems level thinking, multidisciplinary knowledge.

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