AI/ML Expert

5 hours ago

Cochin, Kerala, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000
AI/ML Expert

We are seeking a highly skilled AI/ML expert to join our team. As an AI/ML engineer, you will play a critical role in developing cutting-edge AI solutions using frameworks like LangGraph, Autogen, Crew, or PydanticAI.

  • Design and optimize prompt engineering workflows for LLMs (e.g., GPT, Claude, LLaMA) to achieve exceptional results.
  • Develop modular, reusable components for agent orchestration and task automation to streamline processes.
Model Deployment & Infrastructure:
  • Deploy models using Databricks and Azure ML, integrating with enterprise-grade systems for seamless integration.
  • Implement APIs, WebSockets, and event-driven architectures for real-time AI services to meet evolving needs.
  • Collaborate with platform teams to ensure scalable and secure deployments that meet business objectives.
Development & Automation:
  • Work with CI/CD pipelines using Jenkins to automate testing and deployment, ensuring high-quality releases.
  • Use GitHub Copilot, Windsurf, Codeium, or similar tools to accelerate development and improve productivity.
  • Maintain high code quality and documentation standards using Git, Jira, and Confluence to ensure transparency and collaboration.
Required Skills & Qualifications:
  • 3–5 years of experience working Machine Learning / Artificial Intelligence or 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.
Nice-to-Have 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.
Soft Skills & Mindset:
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Self-starter with a growth mindset and curiosity for emerging AI trends.
  • Ability to work in cross-functional teams and adapt to evolving priorities.

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