Senior Machine Learning Engineer

Dow Jones; Barcelona; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

Dow Jones is hiring a Senior Machine Learning Engineer to enhance their AI Engineering Team in Barcelona. You will design and maintain ML pipelines, collaborate closely with data scientists, and drive operational efficiency in ML solutions through robust software engineering. Ideal candidates will possess a strong background in machine learning algorithms and cloud infrastructure.

Formación

• 2-4 years of experience in machine learning engineering or related fields.
• Proficiency in Python and machine learning frameworks.
• Experience with cloud services like AWS or GCP.

Responsabilidades

• Integrate ML models into AI/ML pipelines focusing on NLP.
• Develop infrastructure for data storage and retrieval.
• Monitor and improve machine learning model performance.

Conocimientos

Python

NLP

Machine Learning

Collaboration

Educación

Bachelor's or Master's degree in Computer Science

Herramientas

PyTorch

HuggingFace

spaCy

NLTK

Docker

Kubernetes

Git

Descripción del empleo

Job Description:

Position: Senior Machine Learning Engineer

Location: Barcelona

Department: Technology

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 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.

Responsibilities

• 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.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.

• 2-4 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.

• Strong communication and collaboration skills, and a passion for working as part of a team.

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. If you need assistance or accommodation in completing your application, due to a disability, email us at [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Business Area:

Dow Jones - Technology

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role