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Sensor Tower
7+ YOECandidates need 7 to 8 years of professional experience, preferably in SaaS, data roles, or mobile or F2P gaming. They should use AI in daily work, know BI platforms such as Snowflake or Tableau, write complex SQL, and hold a college degree in Business or Computer Science.
SQL, Snowflake, AWS, Databricks, Tableau, Amplitude
Safe Software
8+ YOECandidates need 8+ years in software engineering and AI/ML, including 3+ years running AI systems in production. Strong Python skills and experience with LLMs, retrieval systems, RAG and agent architectures are required.
Python, LangGraph, Semantic Kernel, AutoGen, CrewAI, Databricks
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
1+ YOECandidates need a PhD or Master's in a relevant field with industry experience in healthcare AI and commercial SaaS products. Hands-on skills with healthcare data, Python, SQL, LLMs, transformer models, and cloud ML deployment are required.
Python, SQL, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain
Forma.ai
Candidates need experience using and building business intelligence tools, ticketing systems and administrative tools, plus strong data visualization skills. They must be comfortable owning a product area end to end and be strong written and verbal communicators.
BI tools, dashboards, ticketing systems, administrative tools
CCLIM - Quantitative Equity: (CC&L Financial Group), a multi-boutique investment management company whose affiliates collectively manage over CAD$139 billion in assets under…
Candidates need an undergraduate degree in finance, mathematics, statistics, computer science, engineering or a related field. Strong analytical, financial and communication skills are required, and a CFA or graduate degree is an asset.
Process engineering, Coaching, Research, Production processes, Inspect data, Unstructured data
CCLIM - Quantitative Equity: (CC&L Financial Group), a multi-boutique investment management company whose affiliates collectively manage over CAD$139 billion in assets under…
CCLIM - Quantitative Equity needs candidates with an undergraduate degree in finance, mathematics, statistics, computer science or engineering. Strong analytical skills, financial knowledge and collaboration skills are required, and a CFA or graduate degree is an asset.
Process engineering, Coaching, Research, Production processes, Inspect data, Unstructured data
CCLIM - Quantitative Equity: (CC&L Financial Group), a multi-boutique investment management company whose affiliates collectively manage over CAD$139 billion in assets under…
Candidates need an undergraduate degree in finance, mathematics, statistics, computer science, engineering or a related field, plus an analytical mindset and interest in quantitative finance. A CFA or graduate degree is an asset.
Process engineering, Coaching, Research, Inspect data, Unstructured data, Perform data analysis
Valence
8+ YOECandidates need 8+ years of software engineering or AI/ML experience, ideally with a Master's or PhD in a related field. They need experience with NLP, data science tools, cloud deployment and containers.
Docker, Kubernetes, AWS, GCP, Azure, PySpark
LawZero
5+ YOECandidates need a computer science or related degree, 5+ years in data processing, ML engineering or NLP on trillion-token-scale text, and strong Python. Experience with distributed frameworks like Spark, Ray or Flink and orchestration tools like Airflow, Prefect or Dagster is also required.
Spark, Ray, Flink, Airflow, Prefect, Dagster
Nexxa.AI
4+ YOECandidates need 4 to 8+ years of backend or ML platform engineering experience, strong TypeScript/Node.js skills, and experience serving LLM or ML models in production. A bachelor's degree in computer science or a related field is required.
Docker, Kubernetes, Kafka, PyTorch, TensorFlow, OpenCV
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
9 companies