19 publicaciones de empleo destacadas en ai data platform engineer (mlops) (¡Están contratando!)

Senior ML Computer Vision Engineer
N-iX —En remoto
- Media jornada
- Teletrabajo
- Azure
- Doctorado
- Informática
Solicitud rápida
13d
AI Engineer
ESML SD Iberia Holding S A U —Los Girasoles (San Vicente Del Raspeig), Alicante provincia
- Jornada completa
- Azure
- DevOps
- Máster
Solicitud rápida
Senior AI/ML Ops Engineer
Ciklum —En remoto
- Jornada completa
- Teletrabajo
- Microsoft Excel
- DevOps
- SQL
Machine Learning Ops and Data Engineer
Avarda Group —Málaga, Málaga provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
7d
AI Technical Architect — Microsoft & Enterprise Platforms (Remote)
Arxada —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Español
- Azure
- Inglés
9d
Senior Databricks Consulting Engineer (m/f/*)
Ultra Tendency —En remoto
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
12d
Director, Enterprise AI Platforms
AstraZeneca —Barcelona, Barcelona provincia
- Jornada completa
- Microsoft Excel
- DevOps
- Oficina
Databricks Resident Solutions Architect (m/f/*)
Ultra Tendency —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Inglés
Solicitud rápida
MLOps Engineer
Booksy —España
- Teletrabajo
- Inglés
- Máster
- SQL
- Seguro de vida
- Plan de pensiones
Solicitud rápida
9d
Senior Data Scientist
Docplanner —España
- Jornada completa
- Teletrabajo
- Microsoft Word
- SQL
- Machine learning
- Abono gimnasio
Solicitud rápida
Principal Cloud Engineer
Plain Concepts —España
- Teletrabajo
- Azure
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
AI & Data Platform Engineer (HPC)
Izertis —Viladecans, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- Mantenimiento
- Flexibilidad horaria
12d
AI Solution Architect & Computer Vision Expert
Nutslink AI Automation —Zaragoza, Zaragoza provincia
- 80.000 € al año
- Azure
- Doctorado
- Informática
- Seguro médico privado
- Seguro dental
Solicitud rápida
13d
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Tenerife, Santa Cruz de Tenerife provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
13d
Backend Engineer (AI integration)
UST —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- DevOps
- Inglés
- Abono gimnasio
Solicitud rápida
4h
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
13d
Lead AI Application Engineer (Infrastructure & LLMOps)
TechBiz Global GmbH —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo
- Azure
- DevOps
- SQL
Solicitud rápida
13d
Senior Artificial Intelligence Specialist
GR8_TECH —En remoto
- Teletrabajo
- DevOps
- Máster
- SQL
Solicitud rápida
1d
Principal / Staff Software Engineer - Backend, MLOps and Cloud Infrastructure
Nacre Capital —España
- Jornada completa
- Teletrabajo
- Informática
- DevOps
- Máster
Solicitud rápida
5d

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Senior ML Computer Vision Engineer

N-iX -
En remoto

Solicitud rápida

Detalles del empleo

Media jornada | Jornada completa
Hace 13 días

Cualificaciones

TensorFlow
Azure
Doctorado
Informática
Visión artificial
Máster
Machine learning
Deep learning
Estimación y pronóstico
OpenCV
Desarrollo de software
Cloud
Keras
Requisitos comerciales
Python

Descripción completa del empleo

We are looking for a Senior ML Computer Vision Engineer to join our team! We are open to considering both full-time and part-time collaboration (the expected workload is approximately 4 hours per day).

Our client is an innovative technology division within one of the world's top-10 copper producers. You'll play a pivotal role in their expanding Computer Vision and AI ambitions. While the initial focus involves advanced asset management, the team is embarking on a long-term journey to leverage traditional machine learning, artificial intelligence, and predictive maintenance across their global operations.

Working closely with a newly appointed Computer Vision Subject Matter Expert (SME) and cross-functional data and integration teams, you will drive research and development initiatives from proof-of-concept through to production. Your work will directly shape how the organisation utilizes visual and operational data, eventually integrating these cutting-edge AI capabilities into the core asset management scope and broader operational ecosystem.

Responsibilities:

Partner with the Computer Vision SME to drive R&D initiatives, exploring new applications for AI, CV, and traditional machine learning within heavy industry.
Design, develop, and deploy Computer Vision models (e.g., object detection, image classification, segmentation) and traditional ML algorithms for predictive maintenance and asset monitoring.
Translate business requirements and R&D concepts into scalable, production-ready machine learning pipelines.
Collaborate with Data Engineers and Analytics Engineers to ensure seamless ingestion, transformation, and availability of visual, sensor, and operational data.
Work alongside Integration Engineers to embed AI/ML capabilities and model outputs into existing enterprise applications and asset management systems.
Implement MLOps best practices for model training, versioning, deployment, monitoring, and lifecycle management within an Azure-centric environment.
Evaluate and select appropriate algorithms, frameworks, and cloud-native AI tools to meet evolving business and performance needs.
Prepare comprehensive technical documentation, model architectures, and performance reports for technical and non-technical stakeholders.

Requirements:

5+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or AI Researcher in a software development environment.
Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Proven experience building and deploying Computer Vision solutions (e.g., using OpenCV, YOLO, ResNet) in real-world scenarios.
Solid foundation in traditional machine learning techniques (e.g., scikit-learn, XGBoost) and statistical data analysis, particularly for predictive maintenance or time-series forecasting.
Experience with cloud-based ML platforms and MLOps practices, preferably utilizing Azure Machine Learning, Databricks, or similar enterprise environments.
Familiarity with data manipulation and analysis libraries (Pandas, NumPy) and working with large, diverse datasets (images, video streams, sensor data).
Strong analytical and problem-solving skills, with a track record of transitioning models from R&D phases into production scale.
Excellent communication skills, with the ability to collaborate effectively with SMEs, data engineering teams, and business leadership.
Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related highly quantitative field (or equivalent applied experience).

Nice to have:

Background in mining, heavy industry, or manufacturing environments, particularly working with OT (Operational Technology) or IoT sensor data.
Experience processing and analyzing geospatial data, drone imagery, or edge-computing AI deployments.
Familiarity with Azure Data Factory, Azure Synapse, or Azure Integration Services to better align with the broader data platform team.

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

not applicable for freelancers

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