Description:

Agiloft is seeking an experienced Machine Learning Engineer to join their Data Science Team in Canada.
The role involves building and integrating production features that utilize machine learning and generative AI technologies.
Responsibilities include developing and optimizing infrastructure and processes for machine learning prototyping, deployment, and iterative improvements based on customer feedback.
The engineer will support the development and maintenance of the AI platform, aiding in both standard and custom AI model solutions for clients.
The position requires architecting robust data pipelines, addressing scalability and performance issues, and providing expert recommendations on their usage.
The engineer will engage in project initiatives, contribute to planning processes, and educate internal stakeholders about machine learning projects and their business implications.
Other duties may be assigned as needed.

Requirements:

Candidates should have 3-5 or more years of experience in a Machine Learning Engineering role.
Fluency in Python and the associated Data Science stack (numpy, scipy, scikit-learn, pandas) is required.
Proficiency in at least one relational database language is necessary.
Strong communication skills to explain the abilities and limitations of ML systems to developers, product managers, and UX designers are essential.
Experience with deep learning and generative AI models, both third-party and open-source, is preferred.
Expertise in designing and implementing robust data pipelines, particularly for scalability and performance, is required.
Candidates must have the ability to architect and deploy basic machine learning models in a production environment.
Experience with cloud-based infrastructure environments (AWS, GCP, etc.) and containerization technology (Docker, Kubernetes) is necessary.
Knowledge of machine learning model optimization and the ability to advise on trade-offs and options is required.
Familiarity with model drift and the ability to monitor and respond appropriately in straightforward scenarios is necessary.
Experience with at least one CI/CD tool and modern principles of software development and version control is required.

Agiloft offers a diverse and inclusive workplace where employees can bring their authentic selves to work.
The company supports multiple Employee Resource Groups (ERGs) and promotes a healthy work/life balance.
Employees benefit from floating holidays and a quarterly, no-questions-asked wellness day.
Agiloft is committed to an environment of acceptance and ensures that all employment decisions are based on business needs and individual qualifications.
The company encourages applications from underrepresented groups such as minorities, veterans, or individuals with disabilities.