Job Description
A Senior Software Engineer in the AI ML Infrastructure team responsible for designing, developing, and deploying scalable infrastructure to support AI and machine learning initiatives, including large language models, within Celonis' Process Intelligence platform.
Key Responsibilities
- Design, develop, and deploy infrastructure supporting AI ML LLM initiatives.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
- Architect and implement technical components leveraging computer vision, NLP, data mining, and related technologies.
- Build and maintain low-latency infrastructure for serving AI ML models.
- Develop techniques for integrating and processing large-scale enterprise data.
- Create and maintain APIs, libraries, and infrastructure for data serving at scale.
- Implement data quality and freshness mechanisms for enterprise customers.
Requirements
- 5 years of experience in software engineering or a relevant technical role preferably experienced in Machine Learning Ops
- Expert-level proficiency in Python
- Preferably experienced with FastAPI, PyDantic, and SQLAlchemy
- Familiarity with distributed systems and event driven architectures e.g. RabbitMQ or Kafka
- Strong understanding of DevOps principles and tools including Kubernetes, Terraform, DataDog, Docker, CI CD, and ArgoCD
- Extensive experience with cloud platforms AWS, Azure, and GCP
- Proven ability to design, build, document, and distribute scalable services, libraries, and tools
- Passion for developing AI ML LLM solutions and staying up-to-date with industry trends
Benefits & Perks
generous PTO
hybrid working options
company equity RSUs
comprehensive benefits
extensive parental leave
dedicated volunteer days
gym subsidies
counseling and well-being programs
clear career paths
internal mobility
dedicated learning program
mentorship opportunities
Ready to Apply?
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