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Droisys Inc logo

DC2025027 || AI and ML Engineer || Noida

2 - 4 years

1 - 3 Lacs

noida

Posted:1 week ago| Platform: GlassDoor logo

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Skills Required

ai ml learning cutting software design development tuning fastapi support model deployment experimentation evaluation network data python pytorch tensorflow networks mistral openai engineering

Work Mode

On-site

Job Type

Part Time

Job Description

Job Description
About the Role:

We are seeking a skilled and motivated AI/ML engineer to join our team in building intelligent, agentic systems. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering.

Responsibilities:
  • Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks.
  • Collaborate on the development and fine-tuning of both open-source and proprietary LLMs.
  • Develop robust RESTful APIs using frameworks such as FastAPI to support AI model deployment and integration.
  • Conduct experimentation and evaluation of foundational models and neural network architectures.
  • Maintain and enhance model performance through data curation, retraining, and optimization.
  • Should be able to work with agentic workflows and prepare quick POCs.

Requirements:
  • 2–4 years of professional experience in machine learning and applied AI
  • Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
  • Hands-on experience with agentic AI frameworks (LangGraph preferred)
  • Strong understanding of foundational models, neural networks, and deep learning principles
  • Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude)
  • Solid experience in building and maintaining RESTful APIs using FastAPI.
  • Bachelor’s degree in computer science, engineering, or a related field (master’s preferred)

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