Sr AI Engineer

Mpa Recruitment; Halifax; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Gym membership

Job summary

Kainos is seeking a Senior AI Engineer to design, build, test and maintain production software applications that integrate AI services and data science models across complex systems.

You will mentor junior engineers, contribute to architectural decisions, focus on security, scalability and performance, and collaborate with cross-functional teams to deliver robust AI-powered solutions that delight customers.

Qualifications

• Designed, built, tested and maintained production software integrating AI services and data science models.
• Applied mathematics to gain insights from data.
• Ensured security, scalability and performance in development patterns.
• Contributed to architectural decisions, estimation and product planning in a collaborative team.
• Experience across multiple layers of an application.
• Implemented new ML approaches and services.
• Mentored junior team members.

Skills

AI/ML development

Data science modeling

Architecture decisions

Mentoring juniors

Security, scalability, performance

Education

Bachelor's degree in Computer Science or related field

Tools

Major ML frameworks

NLP frameworks

Cloud platforms (AWS/Azure)

Job description

As a Senior Artificial Intelligence (AI) Engineer (Senior Associate) in Kainos, you’ll be responsible for developing high quality solutions that use AI and ML technologies which delight our customers and impact the lives of users worldwide. It’s a fast-paced environment so it is important for you to make sound, reasoned decisions. You’ll do this whilst learning about new technologies and approaches, with talented colleagues that will help you to learn, develop and grow as you, in turn, mentor those around you.

MINIMUM (ESSENTIAL) REQUIREMENTS:

• Proficient in designing, building, testing and maintaining production software applications that integrate AI services and include data science models.
• Proficient applying mathematics principles to gain insight from data.
• Experience of applying development patterns in relation to security, scalability and performance.
• Contributing to technical decisions and direction in a collaborative team environment, including architecture, estimation, product planning, user story/requirement creation.
• Experience of design and development across multiple layers of an application.
• Implemented and developed new machine learning approaches and services.
• Mentoring junior team members.

DESIRABLE:

• Good communication skills, able to communicate issues to technical and non-technical people.
• Experience of Continuous Integration and Continuous Delivery techniques.
• Experience with major machine learning frameworks, languages and NLP frameworks.
• Experience in cleansing, filtering and re-factoring complex data from different sources.
• Experience of debugging and troubleshooting live applications.
• Active participation in knowledge sharing activities, both within the team and with wider non- technical audiences.
• Experience of balancing technical decisions with user needs and commercial constraints.
• Knowledge of cloud platforms, such as AWS and Azure, including SaaS and PaaS services.