Applied Science Data Scientist — Shape Urban Mobility

Cabify; Madrid; Remote; EUR 68,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Flexible working hours

Home office budget

Job summary

Cabify is seeking a highly accomplished Senior Remote Machine Learning Engineer to spearhead AI and Emerging Technologies initiatives. This fully remote role offers flexibility and a globally distributed team of experts to collaborate with on designing, developing, and deploying sophisticated ML models that solve real-world problems.

The role emphasizes a remote-first culture, with resources for professional growth, competitive compensation up to 75,000 euros annually, and a strong commitment to

Qualifications

• Master's or Ph.D. in Computer Science, AI, ML, Statistics, or related quantitative field.
• 5+ years hands-on experience in developing and deploying ML models in production environments.
• Experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Demonstrated ability to work independently and collaboratively in a remote setting.

Responsibilities

• Design, develop, train, and deploy advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to define AI/ML project requirements and scope.
• Perform data preprocessing, feature engineering, and model evaluation.
• Optimize model performance for scalability, efficiency, and accuracy.
• Stay abreast of the latest research and advancements in AI and machine learning.
• Mentor junior engineers and share expertise within the team.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Cloud platforms (AWS/Azure/GCP)

NLP

MLOps

Remote collaboration

Education

Master's or Ph.D. in Computer Science, AI, ML, Statistics, or related

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real-world problems. We are committed to a remote-first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self-driven individual passionate about pushing the boundaries of AI.

About the Role

Our client is looking for a highly accomplished Ingeniero de Machine Learning Remoto Senior to spearhead groundbreaking projects in Artificial Intelligence and Emerging Technologies. This is a fully remote position, offering unparalleled flexibility and the opportunity to work with a globally distributed team of experts. The successful candidate will play a pivotal role in designing, developing, and deploying sophisticated machine learning models that drive innovation and solve complex real-world problems. We are committed to a remote-first culture, providing all necessary resources and support for our team members to thrive professionally and personally, regardless of their location. This role is ideal for a self-driven individual passionate about pushing the boundaries of AI.

Key Responsibilities

• Design, develop, train, and deploy advanced machine learning models and algorithms.
• Collaborate with cross-functional teams to define AI/ML project requirements and scope.
• Perform data preprocessing, feature engineering, and model evaluation.
• Optimize model performance for scalability, efficiency, and accuracy.
• Stay abreast of the latest research and advancements in AI and machine learning.
• Contribute to the development of AI infrastructure and MLOps pipelines.
• Mentor junior engineers and share expertise within the team.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Ensure ethical considerations and responsible AI practices are embedded in all projects.

Requirements

• Master's or Ph.D. in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying ML models in production environments.
• Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Solid understanding of statistical modeling, deep learning, and natural language processing.
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Proven track record of delivering impactful AI solutions.
• Experience with MLOps tools and best practices is highly desirable.

Benefits

As a remote-first company, our client offers a highly competitive salary of up to 75000 euros annually, reflecting the seniority and expertise required for this role. We provide comprehensive health insurance, flexible working hours, and a generous budget for professional development and home office setup. Our client fosters a culture of innovation, collaboration, and continuous learning, empowering employees to achieve their full potential. Join a team that is shaping the future of AI from anywhere in the world.