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Computer Vision and Machine Learning Engineer
hace 3 semanas
About Our Team
Luxury Goods Spain, S.L. is a dynamic and innovative technology company that is committed to driving change in the luxury goods industry through the use of Computer Vision and Machine Learning. Our team of experts is passionate about developing cutting-edge solutions that meet the evolving needs of our customers.
Job Summary
We are seeking a highly skilled Senior Data Scientist Developer to join our team. This individual will be responsible for leading the development of our products and features, ensuring that they meet the highest standards of quality and performance.
Key Responsibilities
- Develop and maintain high-quality backend services using Python, Node.js, or Go
- Implement and integrate AI algorithms and solutions from proof-of-concept to production
- Collaborate with cross-functional teams to design and develop innovative solutions
- Maintain and improve our existing codebase, ensuring scalability and reliability
- Stay up-to-date with industry trends and emerging technologies to drive innovation and improvement
Requirements
- 5+ years of software development experience for a SaaS company
- 5+ years of experience in machine learning and computer vision engineering, with a focus on image and video processing
- 3+ years of experience with server-side programming languages such as Python, Node.js, or Go
- Experience working with databases (SQL / noSQL, BigQuery)
- Familiarity with data pipelines for batch and stream data processing (ETL processes)
- Knowledge of machine learning product development and deep learning / machine learning frameworks (e.g., PyTorch)
- Experience with cloud-based infrastructure (AWS)
- System architecture and design skills for distributed microservices-based systems
- Experience in building production APIs
- Familiarity with software engineering best practices (unit testing, code reviews, design documents, modularity)
- B.Sc. in Computer Science / Engineering or equivalent industry experience
Desirable Skills
- Operational excellence mindset and / or DevOps experience—strong advantage
- Experience implementing stream processors (e.g., Kafka)—strong advantage
- Optional experience with server-side frameworks such as Django or FastAPI
