2 publicaciones de empleo destacadas de full stack software engineer en tres cantos, md (¡Están contratando!)

Senior Manager Data Science
Solera —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Machine learning
- Python
Senior Data Engineer - Analytics Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
6d

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Senior Manager | Data Engineer & Cloud Analytics
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Senior Manager Data Science

Solera -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Visión artificial
Inglés
Docker
Machine learning
Deep learning
GitHub
Cloud
Python

Descripción completa 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/systems 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.

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