AI Engineer

What will you do?

• Design, develop, and deploy advanced AI solutions, focusing on technologies such as Generative AI, machine learning, and blockchain.
• Collaborate with cross-functional teams—including data scientists, software engineers, and business stakeholders—to create innovative products and services.
• Conduct research, feasibility studies, and proof-of-concept initiatives for emerging digital technologies and methodologies.
• Develop and maintain production-grade machine learning models and AI pipelines, ensuring scalability, robustness, and compliance with industry regulations.
• Translate complex business challenges into actionable AI strategies, offering data-driven insights to support decision-making.
• Evaluate, implement, and optimize AI frameworks and tools, utilizing best practices in software development and agile methodologies.
• Communicate findings and project updates effectively to team lead.
• Stay current with industry trends and emerging technologies to continuously enhance the team’s AI and digital capabilities.

What do you need to succeed?

Education:

Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related field; an advanced degree is preferred.

Technical Expertise:

• Strong background in AI, machine learning, and hands-on experience in designing and deploying production-ready models.
• Proficiency in programming languages such as Python; knowledge of additional languages (e.g., C, C++) is a plus.
• Experience working with Generative AI technologies, natural language processing (NLP), and computer vision.
• Familiarity with blockchain technology.

Cloud & Infrastructure:

Experience with cloud platforms such as AWS, GCP, or Azure and working with AI/ML frameworks like TensorFlow or PyTorch.

Problem-Solving:

Demonstrated ability to analyze complex problems and propose innovative solutions.

Communication Skills:

Excellent verbal and written communication skills, with an an ability to translate technical details for non-technical audiences.

Certifications:

Relevant certifications in AI, machine learning, or cloud technologies are beneficial.

Collaborative Mindset:

Ability to thrive in a dynamic, cross-functional team environment, working effectively with diverse stakeholders.

Industry Insight:

Understanding of the financial markets and regulatory landscape is an asset.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and paid-time off.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• Opportunities to do challenging work.
• Opportunities to build close relationships with clients.

Key skills/competency

• Generative AI
• Machine Learning
• Python Programming
• Cloud Platforms (AWS/GCP/Azure)
• TensorFlow/PyTorch
• Natural Language Processing (NLP)
• Computer Vision
• Blockchain Technology
• AI Pipeline Development
• Financial Market Understanding