As an Algorithm Engineer, you'll ensure data quality, design monitoring systems, optimize pricing algorithms, and investigate data incidents.
Goals:
1. Ensure input data quality.
2. Design and build a data early warning system.
3. Monitor and optimize pricing related thresholds.
4. Support pricing algorithm changes.
What you will do:
1. Develop data quality rules to monitor data inputs for anomalous data.
2. Develop rules to monitor data drift and optimize thresholds.
3. Set up alerts for the data quality rules.
4. In-depth data investigation for any incidents.
5. Propose and develop pricing algorithm changes as needed.
What we are looking for:
1. Bachelor or Masters in Computer Science Engineering or related fields.
2. 2 to 3+ years in development using Python.
3. Working proficiency with Python, SQL, and/or Java.
4. Experience in using statistical concepts to identify anomalies.
5. Experience with cache databases (E.g. Redis, MongoDB).Experience with job schedulers (E.g. Airflow).
6. Familiar with message queue systems (E.g. Kafka, Pub/Sub).Familiar with Kubernetes.
7. Proficiency in English.
Nice to have:
1. Experience in using Cloud service (GCP, AWS, or Azure).
2. Experience with Quality Assurance is desirable.
3. Experience with Recommendation Systems is a plus.
4. Knowledge of the cryptocurrency ecosystem and on-chain data is a plus.
Top Skills
Airflow
AWS
Azure
GCP
Java
Kafka
Kubernetes
MongoDB
Pub/Sub
Python
Redis
SQL
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With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
