Data Scientist (ai)

Description:

We are looking for a passionate AI Engineer to join our team at Compass Digital. You will design, develop, and maintain cutting-edge data products and AI solutions, focusing on making difficult-to-access data sources available through web scraping and document scanning. Collaborating with Data Scientists, Analytics Engineers, Front-End Engineers, ML Engineers, and AI Engineers, you will build cloud-native backend systems and infrastructure for new AI-powered applications. Your work will lay the foundations for a new product delivering Data Analytics and AI capabilities.

Now, if you were to come on board as our AI Engineer, we’d ask you to do the following for us:

• Develop and maintain scalable AI applications from concept to deployment;
• Collaborate with cross-functional teams to define, design, and ship new features;
• Architect and implement efficient and reusable AI systems;
• Write clean, well-documented, and maintainable code following best practices;
• Conduct code reviews, provide constructive feedback and mentor junior team members;
• Staying up-to-date with emerging AI technologies and industry trends to drive continuous improvement
• Work in a dynamic, collaborative, progressive, and high-performing team
• Interactions with multiple cross-functional teams, exposure to many components of modern data technology

Think you have what it takes to be our AI Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:

• Bachelor's degree in a STEM field or equivalent experience
• Strong experience with Large Language Models (LLMs)
• 2+ years of hands-on experience in developing AI and data products
• Proficiency with the modern data science stack, including Python, NumPy, and pandas
• Strong cloud engineering skills with experience taking AI ideas to production
• Experience with both SQL and NoSQL database systems and data warehouses
• Familiarity with RESTful APIs
• Knowledge of version control systems such as Git and agile development methodologies
• Excellent problem-solving skills, attention to detail, and ability to work independently or within a team
• Excellent written and verbal communication skills, with the ability to convey complex concepts to non-technical users