The posting
You will build and operate the data and ML infrastructure that turns drone-collected data into deployable machine-learning capabilities.
## Tasks - Own infrastructure and workflows for ML data pools and datasets, from ingestion to versioning - Host in-house labeling tools and manage annotation workflows with external partners - Automate and maintain infrastructure for ML training, evaluation and experiment tracking - Build tooling and automation to move models from training to reliable deployment - Monitor training and model performance and feed production data back into development - Provide tools, documentation and workflows enabling engineers to go from data to deployable models
## Profile - 3+ years of experience in data engineering, MLOps, ML infrastructure or related software engineering - Strong Python and software engineering skills with production-grade systems experience - Hands-on experience with data storage, databases and large-scale data processing - Practical experience with AWS, particularly S3 and cloud-based compute and storage - Experience with ML lifecycle: versioning, experiment tracking, training orchestration, model registries or ML CI/CD - Experience with Docker, CI/CD, workflow orchestration or infrastructure-as-code - Proficiency in English; French is a plus
## Offer - Flexible schedules with option to work remotely up to 2 days per week - 3–6 months interim, then a permanent position
## Company Drone technology
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/ml-data-infrastructure-engineer-tah-kgz74/



