Artificial Intelligence Specialist at GVA Partners

Job Description

• As an Artificial Intelligence Specialist, you will deliver state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions to our customers.
• You will be involved in all aspects of specific engagements, where you will get to scope, define, analyse, model, and deliver AI solutions to real applications.
• You will be working closely with customers and constantly interacting with many parts of the company’s sales, product management and consulting to accomplish delivery of our technology that solves highly-visible and valuable business problems.
• On the client side, you will interact directly with all levels of the organization, from end-users of the technology to executive-level sponsors.

Essential Requirements

• Masters in Computer Science, Statistics, Electrical Engineering, or related quantitative field of study.
• 2+ years of customer/client-facing experience.
• Specialization in applying one or more of the following techniques/technologies: machine learning, predictive analytics, deep learning, cognitive computing, reinforcement learning, expert systems, image processing, natural language processing, chatbot applications, event stream processing, usability and user experience of AI.

Preferences:

• Demonstrated deployment of AI / ML technology in specific industrial applications to deliver quantifiable business value.
• Experience with designing, testing and validating complex learning models.
• Experience with implementations of AI / ML applications using open source frameworks.
• Expert knowledge in using and tuning AI / ML algorithms, deployment, and analytical infrastructures.
• Knowledge of domain-specific data frameworks, such as image storage systems.
• Domain expertise in a vertical application area / business unit / industry, such as manufacturing, healthcare, banking, retail, etc.
• Experience in cloud computing, hardware interfaces.
• Adaptability and flexibility regarding front-room and back-room programming.
• Proficient with Data Science processes, tasks, and activities.
• Capable of a good degree of hacking and data manipulation.

Additional Knowledge, Skills, and Abilities:

• Excellent customer service skills - demonstrated by accomplishments in collaboration with business users.