- Crafting high-quality machine learning models to address business challenges using Databricks ML, Microsoft Azure Machine Learning, and Microsoft AI Studio.
- Producing production-grade code and supporting AI initiatives from inception to deployment.
- Demonstrating a genuine interest in and comprehension of Large Language Models (LLMs).
- Applying data science and machine learning operations methodologies and principles effectively.
- Executing basic automated builds and deployments, including well-documented, thorough documentation tailored to our requirements.
- Embracing teamwork to coordinate tasks and dependencies, monitoring progress collectively. Encouraging idea-sharing, listening to suggestions, and fostering efficient collaboration with teammates.
- Engaging in discussions with partners to fulfill their needs.
- Azure Machine Learning Services, Cognitive Services, and Responsible AI Dashboard for Machine Learning in Azure.
- Python and SKLearn for Shallow Learning, as well as XGBoost.
- Deep Learning Frameworks such as Tensorflow and PyTorch.
- ML Model Deployment Options, including Real-time and Batch, utilizing various technologies like Azure Functions, FastAPI, and Kubernetes.
- CI/CD pipelines, like DevOps pipelines and Git actions.
- Infrastructure as Code tools such as Terraform, ARM Template, and Databricks Asset Bundles.
- Advanced machine learning techniques like Graph-based processing, Computer Vision, Natural Language Processing, and Simulation modeling.
- Generative AI and Large Language Models, including Promptflow, LangChain, Semantic Kernel, and Azure Open AI.
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Machine Learning Consultant - Munich Metropolitan Area, Deutschland - Barrington James
Beschreibung
Exciting new opportunity for an AI consultancy who provide bespoke solutions for healthcare and pharmaceutical clients predominantly implementing LLM's and Computer Vison models. The client is looking for an experienced Machine Learning Engineer who has previously implemented complex novel machine learning models. Experience in a client facing role managing stake holders and managing technical teams would be beneficial.
Responsibilities
Technologies:
If you are interested in discussing this opportunity in detail, please apply or send your CV directly to for immediate consideration.
