Über
Contract (4–5 months)
Start: ASAP
About the Role We are looking for a Senior Machine Learning Engineer to join a high-impact team working on advanced data products related to seismic and well log data. This role focuses on identifying geologic features (e.g., faults, horizons) using cutting‑edge ML techniques.
You will work on large-scale model training, image and signal processing, and ML pipeline development in a highly collaborative environment.
Key Responsibilities
Design, build, and deploy machine learning models for image and time‑series (sensor) data
Develop and optimize deep learning models (training & inference on GPUs)
Build and maintain scalable ML pipelines (Vertex AI, Kubeflow, etc.)
Work with large datasets (image, seismic, and subsurface data)
Collaborate with cross‑functional teams to prototype and validate solutions
Required Skills
Strong experience with deep learning (image models, GPU training & inference)
Hands‑on experience with ML Ops frameworks and distributed training pipelines
Experience with TensorFlow and/or PyTorch
Solid experience with GCP (Google Cloud Platform)
Experience building data pipelines for image or sensor data
Experience with model training, fine‑tuning, and deployment
Familiarity with data labeling tools
Strong communication and problem‑solving skills
Nice to Have
Experience with Vertex AI, Kubeflow
Knowledge of subsurface / seismic / geologic data
Experience with Protocol Buffers and containerization
Experience with edge deployments
Strong prototyping mindset (ability to quickly validate hypotheses)
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Sprachkenntnisse
- English
Hinweis für Nutzer
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