Senior Machine Learning Engineer, Barcelona

Appcast; Barcelona; Presencial; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare Plans

30 days holidays/year

Remote work 3 months/year

Meal benefit with Pluxee

Retirement Plans

Live insurance

Well-being resources

Learning courses

Employee Referral Program

Descripción de la vacante

Dow Jones in Barcelona seeks a Senior Machine Learning Engineer to own the full MLOps lifecycle, with a strong focus on LLMOps and production deployment. You will develop semantic layers, fine-tune models, monitor performance, and collaborate with data scientists, engineers and product teams.

The role requires hands-on ML expertise, Python/SQL proficiency, and experience with TensorFlow/PyTorch, MLflow/Airflow, and Snowflake in a cloud environment.

Formación

• A Bachelor's degree in a quantitative field; a Masters/PhD is a strong plus.
• 2-4 years of professional ML experience with production deployments.
• Strong LLMOps experience including fine-tuning and prompt engineering.
• Advanced Snowflake experience preferred.
• Proficiency in Python and SQL with ML frameworks (TF, PyTorch).
• Solid data science toolkit: Pandas, NumPy, Scikit-learn.
• Experience building MLOps pipelines with MLflow/Airflow.
• Cloud platforms (AWS/GCP/Azure) and Spark/Dask experience preferred.

Responsabilidades

• Own end-to-end ML model development, optimization and deployment.
• Develop and manage LLM-based solutions, including semantic layers and fine-tuning.
• Design robust monitoring and retraining strategies for production ML.
• Improve experimentation frameworks, versioning and A/B testing.
• Ensure scalable, efficient ML pipelines and CI/CD for ML.
• Collaborate with data scientists, engineers and product teams.
• Mentor junior ML engineers and contribute to architectural decisions.

Conocimientos

LLMOps

Fine-tuning

Prompt engineering

Agents & multi-agent

Python

SQL

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

MLflow

Airflow

Snowflake

Cloud platforms

Spark

Dask

Educación

Bachelor's degree in Computer Science, Statistics, Mathematics or related quantitative field

Master's degree or PhD preferred

Herramientas

Snowflake

MLflow

Airflow

TensorFlow

PyTorch

Spark

Dask

Descripción del empleo

Senior Machine Learning Engineer 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: 55,000 - 70,000

Summary Location: Spain - Barcelona

Type: Full time Machine Learning, LLMOps, Python, SQL, TensorFlow, PyTorch,