Company: VIVERIS
Country: France
Salary: $52,123 - $57,914
Type: Onsite
Employment: Full-time
Description: Viveris is a consulting and engineering group specializing in the management and implementation of projects in the fields of IT and electronics.
Engaging with Viveris is the assurance of meeting technical and human challenges while working on innovative projects in a collaborative and supportive environment.
Mission context:
As part of the development of software solutions integrating Artificial Intelligence components, we are looking for an AI / MLOps Software Engineer M/F on behalf of a central client in the military sector.
You will join a team in charge of the industrialization of the life cycle of AI models, particularly in use cases linked to image processing. You will mainly work on the integration, deployment, supervision and maintenance in operational conditions of existing models in constrained software environments.
Responsibilities:
- Integrate Machine Learning and Deep Learning models into target software environments;
- Package, version and deploy models as well as their dependencies;
- Set up and improve continuous integration and deployment chains;
- Develop the components necessary for exposing models: API, inference services, administration tools and automation scripts;
- Monitor the technical and functional performance of deployed models;
- Compare the results obtained to reference sets and historical performance;
- Identify and analyze possible degradations: data drift, evolution of inputs, loss of precision, latency or resource constraints;
- Optimize the porting and execution of models on target environments, particularly on GPU;
- Participate in qualification, unit testing, integration and non-regression activities;
- Write technical documentation and capitalize on good AI industrialization practices;
- Ensure technological monitoring on tools for deployment, supervision and monitoring of AI models.
Profile sought:
Graduate with Baccalaureate training +5 in computer science, software engineering, artificial intelligence or equivalent field, you have at least 4 years of experience in software development, including 2 years minimum in an AI, Machine Learning, MLOps or model integration environment. You have a solid culture of software development and have already participated in the production, deployment or maintenance of AI models in operational conditions. Autonomous, rigorous and with a good analytical mind, you appreciate complex technical environments and industrialization issues. Experience in image processing / Computer Vision, in an industrial environment or subject to security constraints, will be particularly appreciated. The ability to be defense enabled is also an asset.
Technical environment:
- Development: Python, Git, Linux, Bash;
- Industrialization: Docker, CI/CD, automated tests;
- MLOps: MLflow, artifact management, Model Registry;
- Machine Learning / Deep Learning: PyTorch, TensorFlow/Keras, scikit-learn ;
- Image processing: OpenCV, NumPy, Pillow, scikit-image;
- Deployment: REST API/gRPC, FastAPI, inference services;
- AI optimization: ONNX, ONNX Runtime, CUDA, TensorRT;
- Serving: NVIDIA Triton Inference Server;
- Supervision: Prometheus, Grafana, logs, alerting, performance and drift metrics.
Our advantages:
- Attractive and progressive remuneration;
- Family mutual insurance with high guarantees;
- Restaurant tickets covered at 60%;
- 100% of the urban transport ticket reimbursed;
- Incentive, participation and co-optation bonuses;
- Continuing training with LinkedIn Learning and our technical communities.
Apply here:
Web: Apply here
Emails:
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