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Cloud Software Engineer Junior(Speech Analytics Expansion - Ml Eng)
Company | Raise |
Address | Mississauga, Ontario, Canada |
Employment type | CONTRACTOR |
Salary | |
Category | Staffing and Recruiting |
Expires | 2023-08-10 |
Posted at | 10 months ago |
Responsibilities
- Review code provided by data scientists and refactor it for production systems
- Effectively document all the work performed
- Participate in ad-hoc tasks as needed by the ML Engineering or Operations teams
- Contribute to pipeline and architecture standardization initiatives
- Balance multiple initiatives and deliver rapidly with satisfactory quality
- Develop batch and streaming pipelines for generating scores from ML models on the cloud
- Deploy ML models on the cloud
- Participate in development of ML Applications on the Cloud
- Participate where needed in the ML lifecycle
- Collaborate with data scientists during model development, testing, deployment
- Adhere to standards and best practices for developing and deploying ML pipelines on the cloud
- Good listening and communication skills
- 3+ years of proven experience building pipelines and applications using Python
- Thorough understanding of the ML lifecycle, SDLC and software development best practices
- Strong SQL skills (experience with Google Cloud BigQuery strongly preferred)
- Strong teamwork skills
- Experience developing and/or deploying models in various frameworks (scikit-learn, xgboost, tensorflow, pytorch etc.)
- Strong programming skills with emphasis on Object oriented programming, modular programming, code organization and software engineering best practices
- Experience with Apache Beam/Google Cloud Dataflow
- Familiarity with NLP models a strong plus
- Experience with Apache Airflow/Google Cloud Composer
- 1+ years of proven experience with Docker and containerized applications Familiarity with git for version control
- Experience with Java a strong plus
- 2+ years of proven experience building production-grade systems on the cloud (Google Cloud Platform preferred)
- Ability to ramp up fast and deliver quick results
- Familiarity with LLMs a strong plus
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