Location: Montreal (day 1 onboarding onsite/in-office presence required 3x/week)
Years of experience:
- 5-7 years of Python & Database experience (70%)
- 2-3 years of hands-on AI project experience (30%)
Skills Required:
- Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services
- Expertise in pandas and familiarity in scikit-learn libraries for data manipulation and machine learning model implementation
- Experience with anomaly detection algorithms and techniques, particularly isolation forest, clustering, time series analysis, and pattern mining
- Design and deploy generative AI solutions using LLMs and multimodal models to solve business problems
- Familiarity with object-oriented programming (OOP)
- Expertise in FastAPI framework for building AI service endpoints and asynchronous processing systems
- Good knowledge of Database concepts and writing SQL queries and Stored Procedures
- Working knowledge of Unix
- Experience with version control tools (preferably Git)
- Writing unit tests (e.g. using pytest)
- Self-starter with ability to work in a fast-paced environment and be able to work on multiple projects
Good to Have:
- Experience of working in Agile Squads
- Finance data domain knowledge
- Understanding of model performance monitoring, model debugging, and logging systems within AI applications
- Experience with containerization and deployment of ML services in enterprise environments
Python Developer employer: Soho Square Solutions
Join our dynamic team as an Infrastructure Engineer in Montreal, QC, where we foster a collaborative work culture that values innovation and professional growth. With a focus on employee development, we offer opportunities to enhance your skills in cutting-edge technologies while enjoying the benefits of a supportive environment that encourages work-life balance. Experience the unique advantage of working in a vibrant city known for its rich culture and diverse community.
