Generative AI Engineer

Responsibilities:

• Develop and deploy end-to-end AI solutions across various domains.
• Design and implement deep learning models including Transformers.
• Utilize large language models for diverse applications.
• Work with databases and vector databases to manage and analyze data.
• Leverage frameworks and packages for AI solution development.
• Implement AI solutions on cloud platforms like Azure and AWS.
• Develop containerized applications using Docker and other containerization tools.
• Automate and streamline processes using various tools and technologies.
• Contribute to projects involving AI-driven solutions for enhanced efficiency and performance.

Qualifications:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 3+ years of experience in AI and machine learning, specifically in computer vision, generative AI, and NLP.
• Proficiency in programming languages such as Python and C.
• Strong experience with deep learning and large language models.
• Familiarity with various databases and vector databases.
• Hands-on experience with cloud services and containerization.
• Excellent problem-solving skills and ability to work in a team environment.
• Strong communication skills to interact with stakeholders and team members effectively.