Senior DSP Engineer at Nokia developing advanced algorithms for fiber optic systems exceeding 800 Gbps. Collaborating with ASIC teams to implement DSP algorithms in high - performance optical networking products.
About the role
- Machine Learning Engineer developing machine learning systems at DataVisor for real-time fraud detection. Collaborating with a global team to innovate fraud detection solutions.
Responsibilities
- Design and build machine learning systems that process data sets from the world’s largest consumer services
- Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
- Build and optimize systems, tools, and validation strategies to support new features
- Help design/build distributed real-time systems and features
- Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
- Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)
Requirements
- 5+ years software development experience
- 5+ years experience in Java, Shell, Python development
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
- Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus
- Experience in the Spring Framework is a plus
- Experience with test-driven development is a plus
- Preferred based in Calgary, but could be a fully remote position
Benefits
- Canada Life Policy
- Health Insurance including (Extended Health Care, Vision Care, and Dental Care)
- Life Insurance, Accidental Insurance
- Retirement Savings Plan
- Paid Vacation
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