Artificial Intelligence Specialist

12 hours ago

Ghaziabad, Uttar Pradesh, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI/ML Engineer

We are seeking an experienced AI/ML professional to spearhead the development and deployment of advanced artificial intelligence models. The successful candidate will have a strong background in machine learning and deep learning, with expertise in building complex models using various frameworks and tools.

Key Responsibilities:
  • Create modular, scalable architectures for intelligent agents using LangGraph, Autogen, Crew, or PydanticAI frameworks.
  • Optimize prompt engineering workflows for Large Language Models (LLMs) such as GPT, Claude, and LLaMA.
  • Develop reusable components for agent orchestration and task automation.
  • Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems.
  • Implement APIs, WebSockets, and event-driven architectures for real-time AI services.
  • Collaborate with platform teams to ensure scalable and secure deployments.
  • Work with CI/CD pipelines using Jenkins to automate testing and deployment.
  • Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development.
  • Maintain high code quality and documentation standards using Git, Jira, and Confluence.
Requirements:
  • 3-5 years of experience working in Machine Learning/AI-related fields.
  • 1+ years of experience building Generative AI Applications for enterprise, deep understanding of workflows like RAG.
  • Strong proficiency in Python and modern development practices.
  • Hands-on experience with LLMs and prompt engineering.
  • Experience building AI agents using at least one of Lang Graph, Crew, or PydanticAI.
  • Familiarity with Databricks and cloud-native deployment strategies.
  • Understanding of REST APIs, WebSockets, and event-driven systems.
  • Familiarity with SDLC best practices and agile methodologies.
  • Proficiency with using CI/CD tools (Jenkins) and version control (Git).
  • Comfortable using AI-augmented development tools for rapid prototyping.
Preferred Skills:
  • Exposure to MLOps/LLMOps workflows and model monitoring.
  • Knowledge of enterprise security, compliance, and governance in AI systems.
  • Exposure to best practices for code and model lifecycle management.

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