Senior Machine Learning Engineer

Description :About the Role Dow Jones is seeking a skilled Senior Machine Learning Engineer to join our AI Engineering Team, reporting into the ML Engineering Manager. You will be responsible for designing, building, and maintaining machine learning pipelines and infrastructure, supporting both conventional and GenAI models. You will collaborate with our data scientists to seamlessly integrate various machine learning models, including large language models (LLMs). Y As a key team member, you will play a crucial role in operationalizing machine learning solutions to meet our organization's needs and deliver tangible value. You will leverage your strong software engineering skills to develop robust, secure, and scalable production systems, utilizing your expertise in machine learning algorithms and techniques. You Will Collaborate with data scientists and engineers to integrate ML models into various AI/ML pipelines, covering pre-processing, fine-tuning, and deployment. Implement optimized data storage and indexing systems for NLP, utilizing advanced database technologies. Develop tools and frameworks for model training, tuning, and evaluation, ensuring seamless infrastructure integration. Partner with data scientists and engineers to integrate models into production, leveraging cloud infrastructure as needed. Monitor and improve model performance for accuracy and efficiency. Provide ongoing support, troubleshoot issues, and implement updates for ML models. Build and maintain data processing pipelines for high volumes of structured and unstructured data. Develop and maintain documentation for all ML infrastructure and support processes. Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency. You Have Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field. +4 years of industrial experience in a machine learning engineering, data science or data engineering role. Strong programming skills in Python and/or another high-level language commonly used in machine learning. Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.). Experience in developing and managing NLP-focused data infrastructure, including storage, indexing, and retrieval systems. Proficiency in vector storage, indexing, and graph database technologies for scalable operations in cloud environments. Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.). Experience with containerization and orchestration technologies, such as Docker and Kubernetes, on cloud-based infrastructure. Experience with version control systems such as Git. 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) or 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 %). Comprehensive Insurance Plans Well-being Resources (200 USD allowance per quarter, Classpass, etc.) Family Care Benefits & Caregiving Support Subscription Discounts Employee Referral Program #LI-Hybrid This is a hybrid remote/in-office role, based in Barcelona. Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process.