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# Data Science & ML Engineering Tech Lead

- **Company:** Solera Holdings, Inc.
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, BigQuery, Cloud Computing, Software Quality, Continuous Integration, Distributed Computing Environment, Data Flow Control, Github, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Grafana, Fastapi, Kubernetes, Machine Learning Operations, Streamlit Framework, Docker, Monolithic Repository
- **Published:** July 22, 2026
- **Apply:** https://www.jobleads.com/es/job/e26796bbf253ae776b920a3714ed5ef7b

## About the Role

* 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.

## Description

* 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


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