Welcome!

Responsibilities:

Design and develop scalable, flexible, and efficient data pipelines for data preparation, feature extraction, training, and inference, integrated with the AI Platform.

Implement MLOps practices to support the model lifecycle, including data versioning, model tracking, CI/CD pipelines, deployment, and monitoring.

Research and select appropriate Cloud and AI-related services (e.g., LLMs, image processing, document processing) tailored to specific use cases.

Develop AI solutions that reduce the need for frequent retraining of Foundation Models by applying advanced techniques such as RLHF.

Regularly audit AI models for security, reliability, stability, and accuracy.

Create and manage technical documentation, user guides, and operational guidelines for AI system maintenance.

Review and enhance code quality, integration testing, and collaborate with QA to maintain system stability.

Collaborate with Application, Data Platform, and Product teams to integrate AI solutions into existing systems.

Stay up to date with emerging technologies in AI, MLOps, Cloud, DevOps, and industry best practices.

Evaluate third-party tools, frameworks, and platforms to enhance AI development efficiency.

Support internal teams and clients in understanding and adopting the AI Platform.

Qualifications:

Bachelor's or Master’s in Computer Science, Artificial Intelligence, or a related field.

Extensive experience in designing AI applications and knowledge of machine learning frameworks like Tensor Flow or PyTorch.

Proven ability to lead and manage projects with cross-functional teams.

Strong communication skills to effectively collaborate with various stakeholders.

Critical thinking and problem-solving skills are essential.

Experience with ethical AI practices and ensuring compliance with data protection regulations.

At least 2-5 years of experience in AI work.

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