Software Product EngineeringCompany: Dow JonesJob Description:About the Team:Our Technology team drives the evolution of our Technology, Engineering, Data,Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. About the Role:We are seeking a highly experienced and technically adept Senior Machine Learning Engineer to join our team. In this pivotal role, you will own the entire lifecycle of MLOps from optimization to deployment, with a strong focus on LLMOps. You Will:Develop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and the development of agent and multi-agent systems.Own end-to-end ML model development, optimization,



and deployment.Design and implement robust model monitoring and retraining strategies.Optimize model inference and performance for production environments.Collaborate closely with data scientists, engineers, and product teams to integrate ML solutions.Improve experimentation frameworks, model versioning, and A/B testing strategies.You Have:A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field or equivalent work experience; a Master's degree or Ph.2-4 years of professional experience in machine learning with a strong portfolio of models deployed in a production environment.Strong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models, as well as experience in the development of agent and multi-agent systems.Advanced hands-on experience with cloud-based data warehouse solutions; Snowflake experience strongly preferred.Proficiency in Python

📌 Machine Learning Senior Engineer (Barcelona)
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📍 Barcelona