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ML Ops Engineer
Posted 23 days agoViewed
💎 Seniority level: Middle, 4+ years
🔍 Industry: Software Development
🏢 Company: Intuition Machines, Inc.👥 51-100InternetEducationInternet of ThingsMachine LearningSoftware
🗣️ Languages: English
⏳ Experience: 4+ years
Requirements:
- 4+ years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability.
- Significant experience coding and developing in Python.
- Experience with orchestration platforms: Kubernetes, containerization, and microservice design; event-driven model for workflow orchestration, monorepo-scale CI/CD, and testing.
- Experience with database systems (SQL, NoSQL), distributed systems and architectures, and stream processing (preferably ClickHouse and Redpanda).
- Familiarity with machine learning fundamentals such as data preparation, model training, model evaluation, and model inference.
- Focus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
- Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.
Responsibilities:
- Optimize and maintain high-reliability systems and pipelines that scale to millions of RPS on large volumes of data.
- Take care of aspects such as observability, automation, reliability, scalability, continuous integration, and security—across multiple business domains, in a platform-oriented way.
- Work with other ML developers from multiple teams to integrate their work within our infrastructure.
- Participate in code reviews, take part in architecture and design sessions.
- Proactively watch for recent developments in relevant technologies and assess their applicability.
- Help maintain, extend, and improve existing data/ML workflows and implement new ones to handle high-volume data flows.
- Reduce time-to-deployment for dashboards and ML models.
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