We are looking for an AI Engineer for a full time permanent engagement. Role is hybrid with 2 days a week on site in Downtown Toronto.
Our Technology Stack
- Programming Languages : Python (primary for AI / ML), SQL (data querying), and / or proficiency in some object-oriented language.
- AI / ML Frameworks and Libraries : TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, Pandas, NumPy.
- Data Storage and Management : SQL Databases (MySQL, PostgreSQL, MS SQL Server, Snowflake) and NoSQL Databases (MongoDB, Cassandra).
- Cloud Platforms and Big Data : AWS (EC2, S3, Lambda, SageMaker, Glue, Athena).
- Containerization, Orchestration, and Development Tools : Docker, Kubernetes, Flask, FastAPI, Django, GitHub, GitHub Actions, MS DevOps,, Jupyter Notebooks, Anaconda, VSCode / PyCharm.
What you bring :
- A master's or Ph.D. in a quantitative field.
- 9+ years of overall experience including grad school.
- 5+ years of experience in building production-level AI / ML and other quantitative models.
- Strong foundation in statistics, optimization, NLP, and AI / ML algorithms, with a specialization in at least one of the areas.
- Experience in investment management or related financial domains is preferred.
- Proficiency in Python, R, or an object-oriented programming language.
- Familiarity with distributed computing tools and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving skills and ability to think creatively.
- Strong interpersonal skills and ability to work effectively in a collaborative team environment.
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