Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
About the role
- Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi-cloud infrastructure for ML production.
Responsibilities
- support Data Engineering and Data Science Teams, including application development support (Java, Python, etc.) for deployment of multi-cloud big-data applications and Machine Learning use cases
- focus on automation of deployment and integration tasks (CI/CD)
- drive cloud infrastructure management and automation
- work closely with Data Scientists to bring models into production
- evaluate new tools and approaches to continuously evolve the team's DevOps practice
Requirements
- 4+ years developing in an Object-Oriented Programming language (Java preferred)
- 3+ years developing in Python (may be combined with the above requirement, if Python experience is strictly OO coding)
- Familiarity with specialized scripting/SDKs related to data management (e.g.: Boto3, PySpark)
- Familiarity with key file formats: JSON, YAML, AVRO, Parquet
- 2+ years working in Public Cloud environments (AWS or GCP required, others desirable)
- Strong familiarity with GCP environment
- 2+ years working in Linux environments
- 2+ years in Integration Engineering, CI/CD or related field
- Practical experience setting up build pipelines
- 2+ years working with GIT and other SCM
- Experience with containerization frameworks (Kubernetes, Docker)
- Experience with REST web-services frameworks (e.g.: Spring Boot, Flask, Rails)
Benefits
- comprehensive medical, dental, vision, and wellbeing benefits
- competitive 401(k) contribution
- pension plan
- annual incentive
- 9 paid holidays
- paid time off program (23 days accrued annually for full-time employees)
- student loan repayment program
- paid-family leave
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