Your new adventure:
- Build and manage our cloud-based infrastructure and configuration for ML platform components on AWS. Make sure it’s secure, compliant and cost-effective
- Design and develop core parts of machine learning infrastructure covering end-to-end ML workflow
- Build and manage Feature Store platform
- Contribute to our batch and stream processing frameworks and tooling
- Build and manage ML platform components to monitor the performance and health of deployed machine learning models
- Document and communicate ML platform components, frameworks and interfaces to ensure consistency and knowledge sharing across the organization
- Troubleshoot and resolve issues related to machine learning model deployment and infrastructure
- Be on-call when it’s your turn, react to alerts and resolve production incidents
Does this sound like you?
- 3+ years of experience in software development
- Experience with cloud computing infrastructure and development on AWS
- Experience with distributed systems for large-scale data processing (like Apache Spark, Apache Flink, Apache Doris, HBase, Redis)
- Experience in building ML systems
- Familiarity with MLOps tooling
- Experience in infrastructure as a code and configuration management tools (like Terraform, Ansible, SaltStack)
- Proficiency in one or more programming languages (preferably Python, Go, Scala)
- Familiarity with agile software development methods (Scrum/Kanban is preferred)
- Effective communication and collaboration skills
- Bachelor or Master in computer science, mathematics or similar relevant experience
Why Pipedrive:
- A value-driven work environment where people come first
- A lively bunch of colleagues from over 50 different countries, with offices in Prague, Tallinn, Tartu, Lisbon, London, Dublin, New York, Florida, Riga and Berlin
- A team serious about getting things done while not taking ourselves too seriously
- Freedom to execute your ideas with a passionate and motivated team supporting you
- A place in our new and custom-designed Prague office (free sauna included)
- Flexible working hours as long as you’re there for your team members
- Lots of room for personal and career development with internal and external training opportunities
- Competitive salary including all the benefits you’d expect from a great employer (25 days of vacation + 5 health days per year, private medical care, meal allowance for each workday in the Prague office, a monthly contribution for sports, books, and entertainment via the Benefitka card, 365-day Prague public transport ticket, paid sick leave days, retirement fund savings and extra vacation days as a tenure benefit)
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