AI Engineer

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Requirements:

• 3+ years of experience deploying AI models and proven experience in production environments.
• Hands-on experience building AI-driven applications with a focus on practical solutions.
• Strong understanding of Large Language Models (LLMs) including experimentation and productionization.
• Experience with vector databases.
• Deep expertise in Python and experience with cloud platforms like AWS, GCP or Azure.
• Ability to design, experiment and iterate with AI models.
• Familiarity with MLOps pipelines and optimization techniques.

Responsibilities:

• Deploy and optimize ML/DL models to ensure scalability, performance, and reliability in production.
• Develop and maintain AI applications utilizing large language models (LLMs) with an experimentation-driven process.
• Utilize vector databases to enhance retrieval performance.
• Collaborate with data scientists and product teams for integration into business operations and iterate through experimentation.
• Implement MLOps best practices for continuous integration and delivery of AI models.
• Turn experimental models into production-ready applications applying best practices in software engineering.