Machine Learning Engineer
hace 3 semanas
Machine Learning Engineer - AI Core page is loaded## Machine Learning Engineer - AI Corelocations: Virtual Spaintime type: Full timeposted on: Posted Todayjob requisition id: JR- **Machine Learning Engineer – AI Core****Mission**Leverage AI and Solera’s data assets to develop, deliver, operate, and maintain innovative, production-grade components that make vehicle claims and ownership simpler, faster, and more more efficient for customers and users.**What you will do*** Design, train, and ship computer vision models for vehicle damage detection (classification, detection, segmentation), as well as tree-based models and LLM-powered components.* Build scalable data and ML pipelines on GCP (BigQuery, Dataflow, Vertex AI) for training, evaluation, and inference at scale across hundreds of millions of images and claims.* Deploy and operate services on GKE/Cloud Run with Docker and Kubernetes, following CI/CD with robust build systems and testing.* Expose models via FastAPI; build internal tools and demos with Streamlit; instrument monitoring and alerting with Grafana.* Own the end-to-end lifecycle: problem framing, data curation, experimentation, model/productization, performance/cost optimization, and post-deployment monitoring.* Contribute to a high-quality monorepo: code reviews, standards, documentation, testing, and reproducibility.* Collaborate in an internationally distributed team, driving clarity, sharing best practices, and improving ML/engineering workflows.**How we work**Monorepo with strong build, CI/CD, and code quality practices. Freedom to choose the best tool for the job; high autonomy and ownership. Production mindset: reliability, observability, maintainability, and measurable impact.**Tech stack**Python; TensorFlow, PyTorchGCP: BigQuery, Dataflow, Vertex AI, GKE, Cloud Run, Cloud DeployDocker, KubernetesFastAPI, StreamlitGrafana**What you bring*** Strong Python and software engineering fundamentals (testing, code quality, CI/CD, performance).* Proven experience training and deploying CV models (classification, detection, segmentation) with TensorFlow/PyTorch.* Proficiency with large-scale datasets and distributed processing on GCP (BigQuery, Dataflow) or similar.* Production MLOps experience on Kubernetes/containers.* Ability to design clean APIs and services (FastAPI) and build usable internal tools (Streamlit).* Experience with tree-based models.* Experience with integrating LLM APIs into production workflows.* Structured problem solving, critical thinking, and a driven, ownership-oriented mindset.* Effective communication and collaboration in a distributed, cross-functional environment.**Nice to have*** Vertex AI pipelines.* GPU optimization and cost/performance tuning for training/inference.* Experience in insurance, automotive, or related computer vision domains.#LI-MG1#J-18808-Ljbffr
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