We are actively seeking talented individuals for multiple positions as Machine Learning Engineers/Technical Architects. This role is ideal for those who are passionate about designing and deploying AI models, with a strong background in Python and DevOps. We value hands-on experience and the ability to work with advanced technologies, including OpenAI's APIs.

Key Responsibilities:

AI Model Design and Development:

• Design, develop, and implement machine learning models.

• Apply advanced algorithms and techniques in AI to solve complex problems.

• Work with data preprocessing, analysis, and modeling to create efficient AI solutions.

Deployment and Integration:

• Ensure the smooth deployment of AI models into production environments.

• Integrate AI solutions with existing systems and architectures.

• Utilize DevOps practices and CI/CD pipelines for efficient deployment and integration.

Collaboration and Innovation:

• Collaborate with cross-functional teams to understand requirements and deliver innovative solutions.

• Stay abreast of the latest developments in AI and machine learning technologies.

• Contribute ideas for new features and improvements in AI models and architectures.

Qualifications:

• Strong experience in Python programming.

• Hands-on experience in designing and deploying AI models.

• Proficiency in DevOps practices and CI/CD methodologies.

• Familiarity with OpenAI's APIs and frameworks like Langchain is a bonus.

• Prior project experience in a relevant field is highly valued.

Why Join Us:

• Work on cutting-edge AI and machine learning projects.

• Be part of a dynamic and innovative team pushing the boundaries of AI.

• Gain invaluable experience and enhance your technical skills in a thriving environment.

• Opportunities to contribute significantly to high-impact projects and be recognized for your work.

Compensation:

This position unpaid, targeted towards individuals looking to enrich their experience in the field of AI and machine learning. We are committed to acknowledging and rewarding exceptional performance; thus, bonuses will be awarded based on the successful delivery of projects and individual contributions to their success.