Software Engineer II (Canada - Contract) - #111275

Eteam


Date: 4 weeks ago
City: Toronto, ON
Contract type: Contractor
Job Title: Machine Learning Engineer
Location: 100% Remote Role
Duration: 12 Months
Pay rate:- $100/hr - $110/hr on T4 without any benefits

Position Requirements
  • Python, Scala
  • Kafka, Structured Streaming, Kinesis
  • Spark, Hadoop and Hive
  • Industrial Software Engineering Experience – CI/CD, Unit Testing, Working on projects with multiple team members.

Responsibilities
  • Ability to write robust code in one or more of Python, Java and Scala
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
  • Experience using Amazon Web Services (EC2, S3 etc) with data at scale
  • Proficient in core technologies like Spark, Hadoop and Hive.
  • Excellent communication skills. Ability to work in a team
  • Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data pipelines.
  • Develop and tune model training and inference systems.
  • Complete documentation and procedures for installation and maintenance.
  • Actively participate in group technology reviews to critique work of self and others.
  • Work collaboratively with all members of technical staff. Collaborate with data scientists, program managers, and product managers in the development of assigned components.
  • Participate in and provide input to requirements definition.
  • Run machine learning tests and experiments
  • Implement appropriate ML algorithms
  • Study and transform data science prototypes
  • Research and implement appropriate ML algorithms and tools
  • Select appropriate datasets and data representation methods
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks Qualifications
  • Proven experience as a Machine Learning Engineer or similar role: 4-5 years of experience in software development.
  • Understanding of data structures, data modeling and software architecture
  • Knowledge of math, probability, statistics and algorithms
  • Knowledge of streaming platforms like Kafka and Kinesis.
  • Basic knowledge of various ML model platforms.
  • Experience standing up model inferencing API endpoints.
  • Exposure to No SQL databases like MongoDB.
  • Experienced in using SQL for querying data from relational tables.
  • Excellent analytical and problem solving skills with an aptitude for troubleshooting issues.
  • Degree with strong technical focus (Computer Science, Engineering).

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