Machine Learning Engineer
Machine Learning Engineer
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Job Description
Job Description:
Position: Senior Machine Learning Engineer
Location: Barcelona
Department: Technology
About Our Organization:
Dow Jones is a global provider of news and business information delivering content to consumers and organizations around the world across multiple formats including print digital mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the worlds largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal Americas largest newspaper by paid circulation; Barrons MarketWatch Mansion Global Financial News Investors Business Daily Factiva Dow Jones Risk & Compliance Dow Jones Newswires OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS NWSA; ASX: NWS NWSLV).
About the Role
Dow Jones is seeking a skilled Senior Machine Learning Engineer to join our AI Engineering Team. 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).
As a key team member you will play a crucial role in operationalizing machine learning solutions to meet our organizations 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:
- Bachelors degree in Computer Science Engineering Data Science or a related STEM field.
- 3 years of industrial experience in a machine learning engineering data science or data engineering role.
- Experience with cloud-based infrastructure and services. We use GCP but any other vendor experience is good.
- Strong programming skills in Python and/or another high-level language commonly used in machine learning.
- Its a plus to have 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.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes on cloud-based infrastructure.
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
Business Area:
Dow Jones - TechnologyJob Category:
Data Analytics/Warehousing & Business IntelligenceUnion Status:
Non-Union roleEmployment Type
Full-Time
