AI Cloud Engineer for NLP Chatbots
Budget: €250 – €750 EUR
I'm seeking an AI cloud engineer to assist in training and deploying natural language processing models specifically for chatbot development.
Key Responsibilities:
Design, develop, and deploy scalable AI models on cloud platforms such as AWS, Azure, or Google Cloud.
Utilize Hugging Face's Transformers library to deploy state-of-the-art language models.
Collaborate with data scientists and software engineers to integrate AI models into production systems.
Optimize and fine-tune language models for performance and accuracy.
Implement and maintain CI/CD pipelines for AI model deployment.
Monitor and troubleshoot AI models in production to ensure high availability and performance.
Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies.
Develop and maintain documentation for AI models and deployment processes.
Ensure compliance with security and data privacy regulations.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as an AI Cloud Engineer or similar role.
Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
Hands-on experience with Hugging Face's Transformers library and deploying language models.
Proficiency in programming languages such as Python, Java, or C++.
Experience with containerization technologies such as Docker and Kubernetes.
Knowledge of CI/CD pipelines and tools such as Jenkins, GitLab CI, or GitHub Actions.
Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience with other AI and machine learning libraries and frameworks.
Knowledge of data engineering and big data technologies.
Familiarity with DevOps practices and tools.
Experience with natural language processing (NLP) and text analytics.
Looking forward to your bids!
Key Responsibilities:
Design, develop, and deploy scalable AI models on cloud platforms such as AWS, Azure, or Google Cloud.
Utilize Hugging Face's Transformers library to deploy state-of-the-art language models.
Collaborate with data scientists and software engineers to integrate AI models into production systems.
Optimize and fine-tune language models for performance and accuracy.
Implement and maintain CI/CD pipelines for AI model deployment.
Monitor and troubleshoot AI models in production to ensure high availability and performance.
Stay up-to-date with the latest advancements in AI, machine learning, and cloud technologies.
Develop and maintain documentation for AI models and deployment processes.
Ensure compliance with security and data privacy regulations.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as an AI Cloud Engineer or similar role.
Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.
Hands-on experience with Hugging Face's Transformers library and deploying language models.
Proficiency in programming languages such as Python, Java, or C++.
Experience with containerization technologies such as Docker and Kubernetes.
Knowledge of CI/CD pipelines and tools such as Jenkins, GitLab CI, or GitHub Actions.
Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience with other AI and machine learning libraries and frameworks.
Knowledge of data engineering and big data technologies.
Familiarity with DevOps practices and tools.
Experience with natural language processing (NLP) and text analytics.
Looking forward to your bids!