Job Description Senior Machine Learning Engineer Dow Jones Barcelona-Spain 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. Collaborating closely with our newsrooms and strategic partners we spearhead the development of groundbreaking products and technologies. 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. This position demands a strong blend of hands-on technical expertise strategic thinking and the ability to foster innovation within a dynamic environment. 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. Ensure the scalability efficiency and reliability of ML pipelines 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. Ensure best practices in MLOps including automation reproducibility and CI/CD for ML. Contribute to architectural decisions and improve ML infrastructure. Mentor and provide technical guidance to junior ML engineers. You Have A Bachelors degree in Computer Science Statistics Mathematics or a related quantitative field a Masters degree or Ph.D. is a strong plus. 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 and SQL and deep hands-on experience with ML frameworks like TensorFlow PyTorch. A grasp of the broader data science toolkit including libraries like Scikit-learn Pandas and NumPy. Experience building and maintaining MLOps pipelines using tools like MLflow or Airflow. Experience with cloud platforms (AWS GCP or Azure) and large-scale data processing frameworks like Spark or Dask is preferred. Our Benefits Comprehensive Healthcare Plans for you and your family (paid by Dow Jones) Extra paid Time Off (30 days of holidays/year) Possibility to work remotely for 3 months/year (desplazamiento program) and one week of remote work per quarter Meal benefit with Pluxee (171/month on top of your salary) Retirement Plans (Dow Jones will pay 2 of a members Pensionable Salary and match employee contribution up to a maximum of 3 ). Live insurance Well-being Resources (185 allowance per quarter Classpass Spring Health etc.) Family Care Benefits Caregiving Support Hone and Linkedin learning courses for your further development Employee Referral Program Business Area Dow Jones - Technology Job Category Software Product Engineering Union Status Non-Union / A clear and likely internal candidate Base Pay Range 55000 - 70000 Summary Location Spain - Barcelona Type Full time

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