MRO - AI Engineering Advisor - Generative AI

Description :

- Design, develop, and deploy generative AI solutions using models such as Google Gemini, Azure OpenAI GPT, or AWS Nova.

- Build and maintain scalable AI pipelines including RAG pipelines, vector databases, and embedding models.

- Conduct prompt engineering and implement best practices for model performance and usability.

- Implement and optimize AI/ML workflows on cloud platforms : GCP (Vertex AI, Cloud Run, Pub/Sub, Observability), Azure, AWS.

- Perform model fine-tuning, evaluations, and experimentation to improve generative AI outputs.

- Collaborate with cross-functional teams to integrate AI solutions into applications and products.

- Ensure technical excellence, scalability, and robustness in AI systems.

- Stay up to date with emerging generative AI techniques and best practices.

Required Qualifications :

- Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or related field.

- 8+ years of professional experience in AI/ML with at least 2+ years focused on Generative AI.

- Hands-on experience with cloud platforms : GCP (Vertex AI, Cloud Run, Pub/Sub), Azure (OpenAI Service /Azure Foundry), or AWS Bedrock.

- Expertise in prompt engineering, embeddings, RAG pipelines, and vector databases.

- Strong Python programming skills and experience with ML frameworks (Hugging Face, PyTorch, TensorFlow).

- Experience implementing AI pipelines, MLOps, and model lifecycle management in production environments.

- Experience in model fine-tuning, optimization, evaluation, and deployment.

- Strong understanding of machine learning concepts, data pipelines, and production-ready AI systems.

- Proven ability to consult with business stakeholders to deliver effective, technically excellent, scalable AI solutions.

Preferred Skills :

- Familiarity with vector databases (Pinecone, Chroma) and RAG frameworks.

- Familiarity with MLOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).

- Strong presentation, communication, and stakeholder advisory skills.

- Background in AI consulting, innovation labs, or R&D environments is a plus.

- Experience in the healthcare domain.