You’ll build and run large-scale data, ML, and agentic systems. The focus is geospatial pipelines, operational ML, and modern agent frameworks. You should be comfortable owning the full lifecycle: data ingestion, distributed processing, model development, deployment, and monitoring.
Key Responsibilities:
- Implement and integrate agent-based systems into operational workflows.
- Build, deploy, and monitor ML/AI models in production (batch).
- Design, build, and maintain large-scale geospatial data pipelines.
- Develop backend services and ML tooling
- Establish observability for pipelines, models, and agents (metrics, tracing, alerting).
- Collaborate with product and customer teams to drive revenue.
Requirements
- Strong experience with distributed data processing (Spark, Python, Scala).
- Strong experience building production ML systems (training, deployment, monitoring).
- Experience with agent frameworks (LangChain, OpenAI Assistants, custom agentic architectures).
- Experience with AWS across data, compute, and ML services.
- Proficiency with CI/CD, infrastructure as code, containerization.
Nice to Have:
- Experience with large geospatial datasets, formats, and indexing strategies.
- Experience with vector databases, search, or embeddings.
- Experience with graph or spatial databases.
- Experience with fine tuning LLM models.
What Success Looks Like:
- Reliable, scalable geospatial pipelines running in production.
- ML/AI models deployed with robust monitoring, automated retraining, and clear visibility.
- Agentic workflows improving internal/external operations.
- Infrastructure that is stable, observable, and automated.
Top Skills
What We Do
PartnerOne is an enterprise software company that manages the world’s largest data environments through virtualized cloud storage, hyper-automation, artificial intelligence, and metadata analytics. Contrary to other software companies, we play a mission-critical role in not just one, but many aspects of the enterprise Big Data cycle.
Over 1250 of the world’s largest data environments rely on our software for their most critical needs and to safeguard their most valuable data.
