Offered:
- More than 5 years of experience in development and deployment of AI projects.
- 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.
Duration project: 8 months
Offered:
• Be part of a highly qualified dynamic team in a company in the process of expansion.
• Participate in innovative and cutting-edge projects for large, top-level clients in different market sectors.
• Long-term projects, professional stability and career progression.
• Permanent contract.
• Free access to the annual training catalogue of Cas Training.
• Negotiable salary based on the experience and worth of the candidate.
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