Senior Machine Learning Engineer

Dow Jones; Comunidad Valenciana; Presencial; EUR 45.000 - 85.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a talented Machine Learning Engineer to join their dynamic AI Engineering Team. In this pivotal role, you will design and maintain innovative machine learning pipelines, supporting both conventional and GenAI models. You will collaborate closely with data scientists to integrate advanced machine learning models into production systems, ensuring optimal performance and scalability. This is a fantastic opportunity to leverage your software engineering expertise and passion for AI while contributing to impactful projects that drive the organization's success. Join a forward-thinking company that values innovation and teamwork, and take your career to the next level.

Servicios

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Lifestyle programs & Wellness Resources

Family Care Benefits & Caregiving Support

Commuter Transit Program

Subscription Discounts

Employee Referral Program

Formación

• 3+ years of experience in machine learning engineering or data science.
• Strong programming skills in Python and familiarity with ML frameworks.

Responsabilidades

• Design and maintain machine learning pipelines and infrastructure.
• Collaborate with data scientists to integrate ML models into production.

Conocimientos

Machine Learning

Python

NLP

Data Engineering

Software Engineering

Collaboration

Educación

Bachelor's degree in Computer Science

Master's degree in Data Science

Herramientas

PyTorch

HuggingFace

LangChain

spaCy

NLTK

scikit-learn

AWS

GCP

Docker

Kubernetes

Git

Descripción del empleo

Dow Jones is seeking a skilled 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.

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.
• At least 3 years of industrial experience in a machine learning engineering, data science or data engineering role.
• Proven programming skills in Python and / or another high-level language commonly used in machine learning.
• Familiarity 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.
• Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).
• Familiarity 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.

Our Benefits :

• Comprehensive Healthcare Plans
• Paid Time Off
• Retirement Plans
• Lifestyle programs & Wellness Resources
• Family Care Benefits & Caregiving Support
• Commuter Transit Program
• Subscription Discounts
• Employee Referral Program