Ofertas de empleo para Desarrollo de e-learning

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada27 sept.

Teletrabajo 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!

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada19 sept.

Teletrabajo 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)