AI Engineer
2 days ago
Only Immediate to 30 days' notice period only - AI, ML, LLM must have.
Roles & Responsibilities
Design & Develop:
- Architect and implement Generative AI applications using Azure OpenAI Services, Azure Machine Learning, and other Azure AI tools.
- Develop and fine-tune LLMs for domain-specific tasks using frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, etc.
- Build agentic AI systems capable of autonomous reasoning and task execution.
NLP and Advanced Language Models:
- Work with NLP pipelines (text classification, summarization, entity extraction, question answering).
MLOps & Azure Integration:
- Utilize CI/CD pipelines, model versioning, deployment, and monitoring for AI models using Azure Machine Learning MLOps capabilities.
- Collaborate with DevOps to integrate AI models into production systems.
Innovation & Scalability:
- Stay updated on AI advancements—especially LLMs and Generative AI—to improve AI solutions.
- Promote best practices for scalable and secure AI system development on Azure.
Mentorship & Collaboration:
- Provide technical mentorship to junior engineers; share knowledge within the team.
- Work closely with cross-functional teams (Product, Engineering) to translate requirements into technical solutions.
Requirements
Experience:
- Minimum 4 years in AI engineering, focused on Generative AI, LLMs, and NLP.
- Proven experience building and deploying AI models with Azure AI tools: Azure OpenAI, Azure ML, Azure Cognitive Services.
- Strong use of LLM frameworks: LangChain, LlamaIndex, Hugging Face, etc.
- Hands-on experience with MLOps pipelines and CI/CD.
Technical Skills:
- Experience with backend development, especially building APIs or integrating AI models into web apps.
Soft Skills:
- Excellent problem-solving; focus on production-ready solutions.
- Strong communication and collaboration; able to explain complex AI topics to non-technical stakeholders.
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