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MRO - AI Engineering Advisor - Generative AI
MRO - AI Engineering Advisor - Generative AIMRO • Pune
MRO - AI Engineering Advisor - Generative AI

MRO - AI Engineering Advisor - Generative AI

MRO • Pune
12 days ago
Job description

Description :

The Senior Generative AI Advisor will be responsible for designing, developing, and deploying state-of-the-art generative AI solutions and pipelines across GCP, Azure, and AWS.

This role requires expertise in prompt engineering, model fine-tuning, embeddings, and RAG pipelines.

The ideal candidate will bring technical excellence, cloud expertise, and practical experience in production-grade AI deployments and delivery for product and business stakeholders.

Key Responsibilities :

  • 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.
  • (ref : hirist.tech)

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