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Responsibilities:
- Design and implement MLOps pipelines.
- Configure and manage cloud resources.
- Automate model deployment and management.
- Collaborate with data scientists and engineers.
- Monitor and optimize AI/ML infrastructure.
- Stay up-to-date with industry trends.
Requirements:
- Experience deploying ML models to cloud environments.
- Expertise in Docker container orchestration.
- Proficiency in Terraform for IaC and cloud management.
- Experience with streaming data platforms.
- Understanding of data cleaning, transformation, and ETL.
- Experience with CI/CD tools and pipelines.
- Strong programming skills in Python.
- Familiarity with ML frameworks like TensorFlow.
- Excellent problem-solving and critical thinking skills.
- Strong communication skills with non-technical stakeholders.
Benefits:
- Remote-first work environment.
- Global teams across multiple continents.
- Collaborative environment with creative talent.
- Competitive salary with performance-based adjustments.
