Ai Specialist
4 weeks ago
**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 well-articulated 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 machine-learning 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.
- Big-data unsupervised learning.
- Data platform engineering.
- Demonstrated experience in bringing theoretical machine-learning approaches illustrated in academia research papers to actual implementations, i.e. implemented and deployed into largen-scale production systems.
- Solid understanding of how to leverage advanced ML and applied ML algorithms.
- Implementing, administering, and integrating with cloud-based 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, self-management (planning, prioritizing and time management - includes the ability to work independently), systems level thinking, multi-disciplinary knowledge.
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