Overview
Remote
Depends on Experience
Contract - W2
Skills
Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Management
Data Security
DevOps
Google Cloud
Google Cloud Platform
IaaS
Innovation
Java
Knowledge Sharing
Machine Learning (ML)
Management
Microsoft Azure
Problem Solving
Programming Languages
Prototyping
PyTorch
Python
Quality Assurance
Scala
Software Engineering
Specification Gathering
TensorFlow
Testing
Job Details
Position Summary: The AI Cloud Engineer will play a key role in designing, prototyping, developing, and deploying AI solutions utilizing Llama and other cloud-based platforms. The ideal candidate will have a strong background in AI technologies, cloud computing, and software engineering, with the ability to apply these skills to enhance business applications and drive innovation.
Key Responsibilities:
- Design and implement AI-driven solutions using Llama and other cloud technologies.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Develop scalable and efficient AI models for a variety of applications.
- Optimize cloud infrastructure to support AI models and ensure high performance and reliability.
- Stay updated with the latest advancements in AI technologies and integrate them into the company's offerings.
- Troubleshoot and resolve issues related to AI models and cloud infrastructure.
- Document processes and solutions to support best practices and knowledge sharing.
- Conduct testing and quality assurance checks to ensure robust and reliable AI solutions.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field or equivalent work experience.
- Proven experience in AI technologies, including hands-on experience with Llama cloud.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
- Ability to manage multiple projects and priorities in a fast-paced environment.
Preferred Qualifications:
- Experience in deploying AI solutions in production environments.
- Understanding of data management and data security practices.
- Familiarity with DevOps and CI/CD practices.
Thanks & Regards,
Narendra Kunware
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