Senior Manager Data Science

Solera; Sevilla; Presencial; EUR 100.000 - 130.000; Jornada completa

Descripción de la vacante

Solera in Sevilla is seeking a Data Science & ML Engineering Tech Lead to guide a cross-functional team of data scientists, ML engineers and software engineers working on the Visual Intelligence platform.

You will own technical direction, shape roadmaps, ensure high-quality delivery, and architect scalable ML systems to handle hundreds of millions of images. Strong leadership, cloud experience, and fluency in English are essential; the role offers autonomy and international collaboration.

Formación

• Proven DL/CV leadership in research and production.
• Delivery of ML-based value with cross-functional teams.
• Solid ML fundamentals including tree-based models and LLMs.
• Experience with large-scale cloud-based data processing.
• Strong software engineering and mentorship capabilities.
• Ability to balance short-term value with long-term growth.
• Advocates transparency, inclusion and ownership.

Responsabilidades

• Lead the cross-functional VI team and drive value.
• Architect scalable data/ML systems for hundreds of millions of images.
• Define roadmaps and milestones aligned to business goals.
• Mentor engineers; improve practices, processes and tools.
• Collaborate across time zones with DS/ML and SWE teams.
• Communicate complex ideas effectively, both live and async.

Conocimientos

Deep Learning & Computer Vision

Technical leadership

ML delivery

Cloud-based ML engineering

Communication & collaboration

Herramientas

Python

PyTorch

TensorFlow

GCP

Docker

Kubernetes

FastAPI

Streamlit

Grafana

GitHub Actions

Descripción del empleo

Data Science & ML Tech Lead

Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms, and automation.

For more information, please visit http://solera.com.

We’re looking for a Data Science & ML Engineering Tech Lead for our cross‑functional team of Data Scientists, Machine Learning Engineers, and Software Engineers behind Solera’s Visual Intelligence (VI) technology, a computer vision‑based damage detection solution for vehicles. This role will report to our Data Science and Machine Learning Manager.

What you’ll do

• Report to the Data Science and ML Engineering Manager.
• Play a crucial role in the success of VI and the products built on top of it.
• Provide technical leadership to the team and drive the delivery of value together with the team through the team’s initiatives.
• Align the team’s efforts with business goals by turning market opportunities into potent roadmaps, measurable milestones and efficient delivery plans for the team.
• Take full ownership of the team’s success by optimizing the team’s productivity, quality of output, and value creation through continuous improvements of practices, processes, structures, and tools.
• Architect scalable data/ML systems to train and serve models across hundreds of millions of images and records.
• Help shape our tech stack:
• Python; PyTorch, TensorFlow
• GCP: BigQuery, Dataflow, Vertex AI, GKE, Cloud Run, Cloud Deploy
• Docker, Kubernetes
• FastAPI, Streamlit, Grafana
• GitHub Actions

How we work

• Monorepo with a strong build system, CI/CD, and code quality practices.
• GCP as the main data storage and computing platform.
• High autonomy and ownership; freedom to choose the best tool for the job.
• We are an international team, distributed across time zones.

What we’re looking for

• Expert understanding of state‑of‑the‑art Deep Learning and Computer Vision concepts and techniques.
• Proven ability to lead the efficient, continuous creation and delivery of value through DL/CV‑based solutions.
• Solid understanding and experience in other areas of Machine Learning, including tree‑based models and LLMs.
• Expertise with large‑scale datasets and distributed processing in the cloud.
• Strong software engineering fundamentals with a proven ability to promote through mentorship and coaching.
• Proven ability to balance short‑term value delivery with growth and future/continued success.
• Strong ability and desire to foster a culture of transparency, fairness, inclusion, and growth.
• Structured problem solving, critical thinking, and scientific rigor‑oriented mindset.
• Ability to lead by example, especially with regards to communication, structured problem solving, critical/system thinking, as well as ownership and growth mindset.
• Proficiency in the English language with the capacity to efficiently and effectively communicate about complex concepts and problems both via sync (e.g. video calls) and async (e.g. writing) channels.