The Applied AI Engineer plays a pivotal role in harnessing the power of artificial intelligence to enhance various business functions. This role involves designing, developing, and implementing AI models to optimize operations, improve decision-making, and drive innovation. By integrating AI technologies, the Applied AI Engineer will contribute to projects that streamline processes, reduce costs, and enhance customer experiences.

Responsibilities:

Gather business requirements and translate them into technical solutions.

Design, develop, and implement AI models, algorithms, and systems to meet business needs.

Prototype AI solutions based on latest AI technologies.

Develop, test, and refine prompts for AI solutions.

Collaborate with teams and stakeholders to align prompts with company goals and business needs.

Analyze AI performance and make process and updates for performance improvement.

Deploy AI models and solutions in production environments, ensuring their robustness and scalability.

Maintain AI models and systems, ensuring they are up-to-date with the latest technologies.

Minimum Requirements:

Bachelor’s Degree in computer science or 3-5 years of equivalent programming experience.

Deep understanding of Generative AI technologies and trends.

Preferred Qualifications:

Proficiency in Python, Java, C/C++/ C#, or other relevant programming languages.

Strong understanding of cloud technologies (e.g., AWS, GCP, Azure).

Ability to code, debug, and deploy AI solutions with strong software engineering best practices.

Additional Knowledge, Skills and Abilities:

Ability to work independently with minimal supervision and produce quality results but can also work effectively in a team-oriented environment.

Strong interpersonal skills, communication and leadership with the ability to influence across functional teams.

Self-starter with an inquisitive mindset.

Problem solving approach and a can-do attitude.

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