AI/ML Engineer

16 hours ago

Ernakulam, India Cinque Technologies Full time

Key Responsibilities

  • Design, develop, and deploy intelligent AI agents using the latest open-source and proprietary models (e.g., LLaMA, Mistral, GPT, Claude, Gemini, etc.).
  • Integrate AI agents into production environments with efficient orchestration, APIs, and toolchains (LangGraph, LangChain, Langflow, RAG pipelines).
  • Implement and fine-tune large language models (LLMs), computer vision models, and multi-modal systems for specific business use-cases.
  • Architect and maintain scalable, secure, and high-performance ML platforms in line with enterprise-grade standards for security, compliance, observability, and reliability.
  • Stay current with the latest developments in AI research, tooling, and best practices; bring innovative ideas into product development cycles.
  • Collaborate with product teams, data scientists, ML engineers, and business stakeholders to deliver intelligent solutions.
  • Contribute to internal knowledge-sharing sessions and represent the organization in AI/ML industry events and conferences.

Required Qualifications

  • Deep expertise and hands-on experience in building AI agents and ML solutions leveraging LLMs, NLP, Computer Vision, Reinforcement Learning, or Predictive Analytics.
  • Proven experience designing and deploying AI/ML architectures on using best practices.
  • Strong practical coding skills in Python and proficiency in SQL; experience in integrating APIs and building microservices for AI agents.
  • 5+ years of experience leading or contributing to large-scale machine learning initiatives in an enterprise or SaaS environment.
  • Familiarity with vector databases (e.g., Qdrant, Pinecone), model inference engines (e.g., , vLLM, ONNX), and AI orchestration frameworks.
  • Hands-on experience with a variety of ML frameworks: PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers, Keras, etc.
  • Solid understanding of open-source AI ecosystems and the ability to evaluate and integrate new tools and libraries rapidly.
  • Experience contributing to or participating in AI/ML conferences, hackathons, or open-source communities is a plus.
  • Excellent verbal and written communication skills; able to translate complex AI concepts into business value for senior stakeholders.

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