Sandvik
Global leader in engineering, offering advanced products and services in mining, materials technology, and machining.
AI Engineer
Develop and deploy AI/ML solutions for mining ground support using cloud and MLOps.
Job Highlights
About the Role
In this role you will design, develop, and deploy machine learning models for tasks such as computer vision, point‑cloud processing, predictive analytics, and generative AI. You will shape the architecture of scalable AI/ML platforms supporting distributed training, hyperparameter tuning, data processing, and inference, while building and maintaining AWS cloud infrastructure with Terraform and GitHub Actions. You will also construct end‑to‑end cloud‑native systems for real‑time inference and production‑scale AI workloads, implement MLOps practices, and continuously optimise runtime performance across GPU, CPU, and edge environments. • Design, develop, and deploy ML models for computer vision, point‑cloud, predictive analytics, and Generative AI. • Define scalable AI/ML platform architecture for distributed training, hyperparameter search, data processing, and inference. • Build and maintain AWS cloud infrastructure using Terraform and GitHub Actions. • Create end‑to‑end cloud‑native systems for real‑time inference and production‑scale AI workloads. • Implement MLOps practices: model versioning, automated testing, deployment pipelines, and performance monitoring. • Optimize ML runtime performance across GPU clusters, CPUs, and edge environments. • Develop production‑grade software with modern web technologies and write clean, well‑documented code. • Collaborate with product management, domain experts, and customers to gather and refine requirements. • Lead strategic initiatives that shape industry future.
Key Responsibilities
- ▸model development
- ▸ai architecture
- ▸aws terraform
- ▸mlops pipelines
- ▸runtime optimization
- ▸stakeholder collaboration
What You Bring
The ideal candidate holds a degree in Computer Science, Software Engineering, Data Science or a related field, with an AWS certification being a plus. Several years of hands‑on software development experience, strong Python and SQL skills, and proficiency with frameworks like PyTorch, TensorFlow or scikit‑learn are required. Additional expertise in C++ or Java, Terraform, CUDA, containerisation/Kubernetes, big‑data processing, and distributed systems concepts is preferred, along with strong analytical, problem‑solving, communication, and mentorship abilities. • Hold a degree in Computer Science, Software Engineering, Data Science or related field; AWS certification preferred. • Possess several years of software development experience with AI/ML projects and production deployment using DevOps/MLOps. • Strong Python and SQL expertise; proficient with PyTorch, TensorFlow or scikit‑learn frameworks. • Experience with C++ or Java, Terraform, CUDA, containerisation/Kubernetes, big‑data tools, and distributed systems concepts. • Demonstrate strong analytical, problem‑solving, communication, and mentorship abilities.
Requirements
- ▸cs degree
- ▸aws
- ▸python
- ▸sql
- ▸kubernetes
- ▸pytorch
Benefits
We offer a collaborative, inclusive, and forward‑thinking work environment where you can lead strategic initiatives that shape the future of the industry. The role provides ample opportunities for personal and professional growth and the chance to make a tangible impact on a global scale. • Enjoy a collaborative, inclusive, forward‑thinking work environment. • Access personal and professional growth opportunities.
Work Environment
Office Full-Time