
Advanced Generative AI Solutions Expert
2 weeks ago
Advanced AI Solution Engineer
This is a dynamic role requiring deep expertise in Machine Learning, Generative AI frameworks, and RAG pipelines to design, build, and deploy cutting-edge AI solutions for complex real-world applications.
The successful candidate will have the ability to integrate and scale these solutions into enterprise-grade systems with high efficiency and accuracy.
- Design, train, and deploy supervised and unsupervised ML models for large-scale applications.
- Build and optimize Generative AI pipelines (LLMs, RAG architectures, AI Agents).
- Implement scalable data preprocessing, feature engineering, and inference techniques.
Achievable Objectives:
Model Development & Deployment:
- Develop solutions using LLMs (OpenAI, LLaMA, Falcon, etc.) with fine-tuning and prompt engineering.
- Architect and implement RAG pipelines combining vector databases (e.g., Pinecone, Weaviate, FAISS) and LLMs for enterprise knowledge retrieval.
- Build and deploy AI Agents for automation, decision support, and conversational interfaces.
& Integration:
Write clean, production-grade Python code following best practices and collaborate with cross-functional teams to deliver scalable AI solutions.
& Cloud:
Use MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker, Azure ML) for experiment tracking, CI/CD, and deployment and optimize models for latency, scalability, and cost efficiency.
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