Machine Learning Ops Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7dmk1u

Machine Learning Ops Engineer at General Atomics Intelligence

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About the role General Atomics North Point Defense, a division of General Atomics Intelligence, is looking for an MLOps Engineer to manage the full machine learning lifecycle from initial research through production deployment. This position focuses on applying software engineering principles to ML systems, ensuring models are scalable, dependable, and consistently perform well in operational settings. You will work alongside data scientists, software engineers, and system engineers to deliver AI and ML solutions that support tactical and national defense intelligence missions.
Key facts

Location: Rome, NY
Engagement: Full-time
Salary: $81,000 to $141,533
What you'll do

Containerize machine learning models using Docker and deploy them into production environments where they will support real-time intelligence operations for defense applications.




Architect and build complete ML pipelines that handle data ingestion, model training, evaluation processes, and deployment workflows to ensure smooth transitions from development to production.
Establish and maintain monitoring systems and logging infrastructure for deployed models, tracking key performance indicators including accuracy metrics, response latency, and resource consumption patterns.
Partner with data scientists to move experimental models into production-ready states, ensuring research prototypes are transformed into reliable operational systems.
Work with software engineers to embed ML models into larger application frameworks, ensuring proper integration with existing system architectures and data flows.
Coordinate with system engineers to make optimal use of available hardware resources including CPUs, FPGAs, and GPUs, tuning deployments to maximize computational efficiency and throughput.
Implement continuous i

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7dmk1u