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senior data science engineer

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Machine Learning EngineeringPython, MLOps, Kubeflow, Snowflake
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Colombia
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Sorry, the job is expired

Currently, we are looking for a remote Senior Data Science Engineer to join our global team

responsibilities
  • Revenue Optimization
    • Video content classification (for kids)
      • Mentoring other DS
        • Join one of our Data and Analytics teams and work on developing SA first "single source of truth" data analytics solution together with the Product Manager as well as our internal-facing platform teams
          • Work closely with the Tech Lead and other engineers to define the appropriate technical approach, metrics, and timelines
            • Have your say in the product roadmap and help the team and the Product Manager make the most informed decisions to break down complex tech deliverables into simple and understandable user stories
              • Ensure all product components are built to an appropriate level of quality for the stage (alpha/beta/production)
                • Deliver products using the appropriate level of testing and monitoring
                  • Work across the full stack depending on where you can drive the highest impact: from ETL pipelines to data warehousing to visualizations, as well as testing and cloud infrastructure
                    • Work with your team to design and implement features and services for the data analytics solution, and keep the design choices well documented and explained
                      • Be a hands-on mentor and drive quality and reliability from the get-go, lowering the complexity of the system
                        • Master one or more domains and break complex goals into simple and iterative deliverables
                          • Interview candidates for your and other teams, participating in both code reviews and system design interviews
                            • Commit to high-speed iterations, high code quality, and continuous improvement via agile processes
                              • Ensure long-term quality, scalability, and maintainability of SA systems
                                • Champion the DevOps culture, treat operations with a mission-critical mindset, and support the live system in production, including participation in SA out-of-hours on-call rota
                                  requirements
                                  • 3+ years of experience as Data Science Engineer
                                    • Strong knowledge of MLOps
                                      • Strong knowledge of Machine Learning Engineering
                                        • Strong knowledge of Python
                                          nice to have
                                          • Experience with Kubeflow
                                            • Experience with Snowflake

                                              benefits for locations

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                                              For you

                                              • Prepaid Medicine with Colsanitas for you and your legal dependents 
                                              • MetLife Life Insurance for you 
                                              • Thousands of projects for top brands
                                              • Stable income

                                              For your comfortable work

                                              • 100% remote work forever
                                              • Free licensed software
                                              • Possibility to work on your own device (BYOD)
                                              • Stable workload
                                              • Relocation opportunities
                                              • Flexible engagement models

                                              For your growth

                                              • Free trainings for technical and soft skills
                                              • Free access to LinkedIn Learning platform
                                              • Support from a personal Skill Advisor
                                              • Language courses
                                              • Free access to internal and external e-Libraries
                                              • Access to internal communities and competency centers
                                              • Certification opportunities
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