AI Specialist

SUMMARY:
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POSITION INFO:

Job Overview:

We’re looking for a skilled IT AI specialist to join our dynamic team. The successful candidate will be responsible for creating innovative solutions in AI and Machine Learning, while remaining well-versed in new technologies in the ever-evolving AI space. As part of the role, it’s important that less experienced staff members are continually educated and mentored to assist in the execution and adoption of innovative technologies in the AI space. This is a technical role that requires extensive experience in building and integrating new technologies into large-scale, enterprise-wide technology environments.

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:

o Applied machine-learning with regression, classification, and models for supervised learning.

o Natural language processing and understanding, large language models.

o Building multimodal models.

o Analyzing and transforming unstructured data into useful information and knowledge artifacts that can be shared.

o Big-data unsupervised learning.

o 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.