Ofertes d'ocupació per a Desarrollo de e-learning

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada27 de set.

Teletreball API Python TSQL Azure Docker Cloud Coumputing Kubernetes REST AWS Machine Learning

Te ofrecemos crecer con nosotros en una de nuestras unidades tecnológicas como Machine Learning Engineer o MLOps, en una posición estable y a largo plazo, en modalidad 100% remoto.


Se necesita un perfil senior, con a partir de 3-4 años de experiencia laboral en el ámbito de ML y Data Science y experiencia trabajando en el ámbito de GCP (IMPRESCINDIBLE, no se valoran perfiles con menos de 3 años de experiencia), y muy valorable experiencia en proyectos con modelos de IA generativa.


SKILLS:


- Master´s or Degree in Statistics, Mathematics, Computer Science, or another quantitative field.


· Strong problem-solving skills with a focus on product development. ·


Proficient in using statistical computer languages (Python, SQL, etc.) to manipulate data and derive insights from large datasets.


· Strong emphasis on hands-on experience on MLOps tools and techniques for AI use cases, covering deployment, monitoring, and maintenance, diminishing the prominence of AI models like GenAI models (LMM, transformers, GPT, OpenAI, NLP).


· Practical experience in deploying, monitoring and securing Machine Learning models within cloud platforms: Google Cloud (Vertex, Gemini) is a must; AWS (Sagemaker, Bedrock) or Azure (ML Studio, AutoML, OpenIA) is nice to have. · Experience with containerization technologies like Docker and container orchestration tools such as Kubernetes. · Experience with different communications protocols such as API REST or MQTT.


· Strong understanding of CI/CD pipelines and version control systems


¿Qué ofrecemos?


· Contratación indefinida


· Ubicación: TELETRABAJO 100%


· Rango salarial: 42-52K b/a (en función de la experiencia y expectativas del candidato).


· Beneficios sociales: Seguro médico privado y seguro de vida


· Retribución flexible: tickets restaurante, tickets guardería, tarjeta transporte


· 23 días de vacaciones y el día de tu cumpleaños


· Plan de formación personalizado. Si sientes que podrías encajar y te apetece la experiencia, ¡ponte en contacto con nosotros! Y te daremos toda la información que necesites.


¡Abre una nueva ventana a tu futuro con Second Window! ¡Inscríbete!

• Nivell d'experiència---
• Tipus de contracteConsultor
• Publicada19 de set.

Teletreball API Python TSQL Azure Docker Cloud Coumputing Kubernetes REST AWS Machine Learning

ConsulSAP busca Ingeniero IA

More than 5 years of experience in development and deployment of AI projects.

Required Skills:
• Strong problem-solving skills with a focus on product development.
• Proficient in using statistical computer languages (Python, SQL, etc.) to manipulate data and derive insights from large datasets.
• Strong emphasis on hands-on experience on MLOps tools and techniques for AI use cases, covering deployment, monitoring, and maintenance, diminishing the prominence of AI models like GenAI models (LMM, transformers, GPT, OpenAI, NLP).
• Practical experience in deploying, monitoring and securing Machine Learning models within cloud platforms: Google Cloud (Vertex, Gemini) is a must; AWS (Sagemaker, Bedrock) or Azure (ML Studio, AutoML, OpenIA) is nice to have.
• Experience with containerization technologies like Docker and container orchestration tools such as Kubernetes.
• Experience with different communications protocols such as API REST or MQTT.
• Strong understanding of CI/CD pipelines and version control systems
• Experience with monitoring and logging tools or cloud services.
• Solid understanding of networking concepts and security best practices.
• Excellent written and verbal communication skills to facilitate effective coordination across teams.
• A proactive drive to learn and master new technologies and methodologies, particularly in the realm of MLOps.
• Must have experience in managing and leading AI teams in challenging environments
• Ability to efficiently organize and manage team work
• Experience in designing complex, robust, scalable, and effective AI solutions, both in cloud and on-premise environments

OTROS
Proyecto: cliente de Madrid
Teletrabajo: SI
Jornada de 8h adaptado al cliente
Tipo de colaboración: Freelance
Duración: Octubre 2024 a Mayo 2025 (8 meses +renovable, a confirmar)