Machine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
About the role
- Deploy and monitor ML/LLM pipelines for Fortune Global 500 clients. Work on generative AI and model parallelism at a leading EU quantum software company.
Responsibilities
- Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients
- Design, develop, and implement ML and LLM pipelines including data acquisition, preprocessing, model training, tuning, deployment, and monitoring
- Employ automation tools such as GitOps, CI/CD pipelines, Docker, and Kubernetes to enhance ML/LLM lifecycle
- Establish and maintain monitoring and alerting systems to track LLM performance and detect data drift
- Conduct truth analysis to evaluate LLM outputs against accurate data
- Collaborate with Product, DevOps teams, and Generative AI researchers to optimize model performance and resource utilization
- Manage and maintain cloud infrastructure (AWS, Azure) for LLM workloads ensuring cost-efficiency and scalability
- Stay updated with ML/LLM Ops developments and integrate advancements into generative AI platforms
- Communicate LLM performance and status to technical and non-technical stakeholders
Requirements
- Bachelor's or master's degree in computer science, Engineering, or a related field
- Mid or Senior: 4+ years of experience as an ML/LLM engineer in public cloud platforms
- Proven experience in MLOps, LLMOps, or related roles managing ML/LLM pipelines from development to deployment and monitoring
- Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering
- Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning
- Proficiency in Python
- Experience with distributed computing tools such as Ray
- Experience with model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM
- Expertise with generative AI applications (content creation, data augmentation, style transfer)
- Strong understanding of Generative AI architectures and methods (chunking, vectorization, context-based retrieval/search)
- Experience working with Large Language Models like OpenAI GPT-3.5/4.0, Llama2, Llama3, Mistral
- Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre
- Excellent English; Spanish is a plus
- Great communication skills and ability to work collaboratively in an international environment
- Preferred: experience training Mixture-of-Experts, working with multiple public clouds/hybrid environments, real-time streaming, training/inference optimization, LLM observability and API management
Benefits
- Competitive annual salary starting from €55,000
- Signing bonus at incorporation
- Retention bonus at contract completion
- Relocation package (if applicable)
- Hybrid role and flexible working hours
- Up to 9-month contract (ending June 2026)
- Equal pay guaranteed
- International exposure in a multicultural environment
- Working at a fast-scaling Series B deep-tech company
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