We are looking for a Senior ML Engineer for our client in Stockholm for a long term assignment. Employment type: Fixed Term ContractDuration : 6 Months - 1 YearLocation : Stockholm Work type : Onsite ( potential hybrid options) As a Senior ML Engineer, you will be working hands-on to optimise training and deployment of ML models to be quick and cost-efficient. You will also be at the forefront of putting our ML models on mobile devices to enhance data privacy and customer experience. To achieve this, you will need to collaborate with teams to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms. You will be expected to help Client reach and stay at the cutting edge of ML training and deployment, as well as explore new frontiers such as federated learning.The impact you will create:● Lead the technical evaluation and implementation of Federated Learning (FL) initiatives .● Work closely with Data Science, Android, and Backend teams to design and validate end-to-end FL workflows.● Define and execute experimentation plans to assess the effectiveness of FL for use cases.● Develop and optimize language models and on-device training pipelines for privacy-preserving machine learning.● Establish model evaluation frameworks, success metrics, and validation strategies for FL-based systems.● Identify technical risks, assumptions, and limitations, and provide recommendations on architecture and future direction.● Help shape the roadmap for scaling FL from experimentation to production-ready systems What you bring in: ● 5+ years of experience in Machine Learning Engineering, Applied Machine Learning, or related fields.● Hands-on experience with Federated Learning frameworks such as TensorFlow Federated, Flower, FedML,…Data scientistSystemanalytiker och IT-arkitekter m.fl.
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