Remote · worldwide, UTC+4 acceptedSalary not disclosedcontractVerified 2w agoHimalayas
We are not a big company, but we turn it into an advantage. What distinguishes us from others is our natural atmosphere and open communication structure.
Responsibilities
Data Engineering and Pipeline Development
Design, build, and maintain robust data pipelines to support AI/ML models.
AI Architecture in Cloud Environments
Design and implement AI architectures in cloud environments such as AWS, Azure, or GCP.
Collaborate with cloud engineers to ensure seamless integration and deployment of AI models.
Utilize cloud-native tools and services to enhance AI capabilities.
Deployment of Large Language Models (LLMs)
Deploy and fine-tune LLMs for various business applications.
Ensure that LLM deployments are scalable, efficient, and secure.
Monitor and optimize model performance in production environments.
