Senior ML Computer Vision Engineer

Description

Summary: Join a leading technology division as a Senior ML Computer Vision Engineer, driving R&D from proof-of-concept to production for advanced asset management and operational AI integration. Highlights: 1. Pivotal role in expanding Computer Vision and AI ambitions 2. Drive R&D initiatives from proof-of-concept through to production 3. Integrate cutting-edge AI capabilities into core asset management We are looking for a **Senior ML Computer Vision Engineer** to join our team! **Our client** is an innovative technology division within one of the world's top\-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management, the team is embarking on a long\-term journey to leverage traditional machine learning, artificial intelligence, and predictive maintenance across their global operations. Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross\-functional data and integration teams, you will drive research and development initiatives from proof\-of\-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data, eventually integrating these cutting\-edge AI capabilities into the core asset management scope and broader operational ecosystem. **Responsibilities:** * Partner with the Computer Vision SME to drive R\&D initiatives, exploring new applications for AI, CV, and traditional machine learning within heavy industry. * Design, develop, and deploy Computer Vision models (e.g., object detection, image classification, segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring. * Translate business requirements and R\&D concepts into scalable, production\-ready machine learning pipelines. * Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion, transformation, and availability of visual, sensor, and operational data. * Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems. * Implement MLOps best practices for model training, versioning, deployment, monitoring, and lifecycle management within an Azure\-centric environment. * Evaluate and select appropriate algorithms, frameworks, and cloud\-native AI tools to meet evolving business and performance needs. * Prepare comprehensive technical documentation, model architectures, and performance reports for technical and non\-technical stakeholders. **Requirements:** * 5\+ years of hands\-on experience as a Machine Learning Engineer, Computer Vision Engineer, or AI Researcher in a software development environment. * Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras. * Proven experience building and deploying Computer Vision solutions (e.g., using OpenCV, YOLO, ResNet) in real\-world scenarios. * Solid foundation in traditional machine learning techniques (e.g., scikit\-learn, XGBoost) and statistical data analysis, particularly for predictive maintenance or time\-series forecasting. * Experience with cloud\-based ML platforms and MLOps practices, preferably utilizing Azure Machine Learning, Databricks, or similar enterprise environments. * Familiarity with data manipulation and analysis libraries (Pandas, NumPy) and working with large, diverse datasets (images, video streams, sensor data). * Strong analytical and problem\-solving skills, with a track record of transitioning models from R\&D phases into production scale. * Excellent communication skills, with the ability to collaborate effectively with SMEs, data engineering teams, and business leadership. * Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related highly quantitative field (or equivalent applied experience). **Nice to have:** * Background in mining, heavy industry, or manufacturing environments, particularly working with OT (Operational Technology) or IoT sensor data. * Experience processing and analyzing geospatial data, drone imagery, or edge\-computing AI deployments. * Familiarity with Azure Data Factory, Azure Synapse, or Azure Integration Services to better align with the broader data platform team. **We offer\*:** * Flexible working format \- remote, office\-based or flexible * A competitive salary and good compensation package * Personalized career growth * Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) * Active tech communities with regular knowledge sharing * Education reimbursement * Memorable anniversary presents * Corporate events and team buildings * Other location\-specific benefits * not applicable for freelancers