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Senior Advisor – AI Engineering
Senior Advisor – AI Engineeringiitjobs, Inc. • Prayagraj(Allahabad), IN
Senior Advisor – AI Engineering

Senior Advisor – AI Engineering

iitjobs, Inc. • Prayagraj(Allahabad), IN
3 days ago
Job description

Senior Advisor – AI Engineering | Remote | Permanent Role | Product-Based Company

Job Title :

Senior Advisor – AI Engineering

📍 Location : Remote

💼 Employment Type : Permanent (Full-Time)

🏢 Company Type : Product-Based Organization

Role Overview :

  • Design, develop, and deploy state-of-the-art Generative AI solutions across GCP, Azure, and AWS
  • Drive production-grade AI deployments for products and business stakeholders
  • Apply deep expertise in prompt engineering, fine-tuning, embeddings, and RAG pipelines

Key Responsibilities :

  • Design and deploy Generative AI solutions using Google Gemini, Azure OpenAI (GPT), AWS Nova
  • Build and maintain scalable AI pipelines , including :
  • Retrieval-Augmented Generation (RAG) pipelines
  • Vector databases
  • Embedding models
  • Perform prompt engineering and apply best practices for optimal model performance
  • Implement and optimize AI / ML workflows on cloud platforms :
  • GCP : Vertex AI, Cloud Run, Pub / Sub, Observability
  • Azure & AWS AI services
  • Conduct model fine-tuning, evaluation, and experimentation
  • Collaborate with cross-functional teams to integrate AI solutions into products and applications
  • Ensure scalability, robustness, and technical excellence in AI systems
  • Stay current with emerging Generative AI trends and best practices
  • Required Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, AI, ML , or related field
  • 10+ years of AI / ML experience, including 2+ years in Generative AI
  • Hands-on experience with cloud platforms :
  • GCP (Vertex AI, Cloud Run, Pub / Sub)
  • Azure OpenAI / Azure Foundry
  • AWS Bedrock
  • Strong expertise in :
  • Prompt engineering
  • Embeddings
  • RAG pipelines
  • Vector databases
  • Proficient in Python and ML frameworks : Hugging Face, PyTorch, TensorFlow
  • Experience with MLOps, AI pipelines, and model lifecycle management
  • Proven experience in model fine-tuning, optimization, evaluation, and deployment
  • Strong understanding of production-ready AI systems and data pipelines
  • Ability to consult and partner with business stakeholders to deliver scalable AI solutions
  • Preferred Skills :

  • Experience with vector databases : Pinecone, Chroma
  • Familiarity with RAG frameworks
  • Knowledge of MLOps, CI / CD pipelines, Docker, Kubernetes
  • Strong communication, presentation, and advisory skills
  • Background in AI consulting, innovation labs, or R&D
  • Healthcare domain experience (nice to have)
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    Senior Advisor • Prayagraj(Allahabad), IN

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