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# Machine Learning Engineer For Llm Solutions

- **Company:** Enfint
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Airflow, Amazon Web Services, Microsoft Azure, Cloud Database, Continuous Integration, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Tensorflow, SQL Databases, Pytorch, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Apache Spark, Model Validation, Pandas, Scikit Learn, Information Technology, Deployment Automation, Dask, Machine Learning Operations, Software Version Control
- **Published:** September 7, 2026
- **Apply:** https://www.buscojobs.com.es/machine-learning-engineer-for-llm-solutions-en-madrid-ID-370328159

## About the Role

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field - 2-4 Years of professional experience in machine learning with a strong portfolio of models deployed in production - Strong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models - Experience developing agent and multi-agent systems - Advanced hands-on experience with cloud-based data warehouse solutions - Proficiency in Python and SQL - Deep hands-on experience with TensorFlow and PyTorch - Knowledge of Scikit-learn, Pandas, and NumPy - Experience building and maintaining MLOps pipelines using MLflow or Airflow - Nice to have: Master's degree or Ph.D., Snowflake experience, experience with AWS, GCP, or Azure, experience with Spark or Dask

## Description

????????:Dow Jones is a global provider of news and business information, delivering content to consumers and organizations worldwide through print, digital, mobile, and live event formats.Its portfolio includes The Wall Street Journal, Barron's, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance, and Dow Jones Newswires.??????:- Develop and manage LLM-based solutions, including semantic layer development, fine-tuning, model evaluation, deployment strategies, and 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 model monitoring and retraining strategies - Optimize model inference and performance for production environments - Collaborate with data scientists, engineers, and product teams to integrate ML solutions - Improve experimentation frameworks, model versioning, and A/B testing strategies - Ensure MLOps best practices, 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??????????:- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field - 2-4 Years of professional experience in machine learning with a strong portfolio of models deployed in production - Strong experience with LLMOps, including fine-tuning frameworks, prompt engineering, and managing the lifecycle of large language models - Experience developing agent and multi-agent systems - Advanced hands-on experience with cloud-based data warehouse solutions - Proficiency in Python and SQL - Deep hands-on experience with TensorFlow and PyTorch - Knowledge of Scikit-learn, Pandas, and NumPy - Experience building and maintaining MLOps pipelines using MLflow or Airflow - Nice to have: Master's degree or Ph.D., Snowflake experience, experience with AWS, GCP, or Azure, experience with Spark or Dask???????:- Comprehensive healthcare plans for the employee and family paid by Dow Jones - Extra paid time off of 30 days per year - Remote work for 3 months per year through the desplazamiento program and one week of remote work per quarter - Meal benefit with Pluxee of 171€/month on top of salary - Retirement plan contributions: Dow Jones pays 2% of pensionable salary and matches employee contributions up to 3% - Life insurance - Well-being allowance of 185€ per quarter, ClassPass, Spring Health, and other resources - Family care benefits and caregiving support - Hone and LinkedIn Learning courses - Employee Referral Program#J-*****-Ljbffr


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