AI Engineer

Design, build, and deploy production-grade Artificial Intelligence and machine learning models tailored for enterprise applications.

Deploy and manage scalable AI microservices on cloud infrastructure using Google Cloud Platform (GCP) configurations.

Practice clean, efficient, and well-structured Coding techniques to implement core data algorithms and software logic.

Leverage advanced Cloud computing architectures to scale model training, data ingestion pipelines, and real-time inference endpoints.

Apply core Computer science principles to optimize data structures, system memory management, and runtime execution speeds.

Collaborate cross-functionally with software developers, data engineers, and domain experts to integrate AI features into broader product stacks.

Conduct continuous performance tracking, model drift diagnostics, and code optimization runs regularly.

Bachelor's or Master's degree in Computer science, Data Science, Artificial Intelligence, or a related quantitative technical stream.

0–1 Yrs of experience, making it an ideal role for entry-level engineering talent, fresh graduates, and junior AI developers.

Preferred Skills & Qualifications: Strong programming skills (in languages such as Python, Java, or C++) paired with solid technical fundamentals.

Verifiable hands-on familiarity or project experience with GCP, cloud hosting systems, and AI model lifecycle workflows.

Strong diagnostic problem-solving capability combined with clear technical documentation and communication habits.