AI Engineer

2 weeks ago

Nagpur, India Pragmatyc Full time

Responsibilities:

  • Design, build, and deploy AI/ML models using frameworks such as PyTorch, scikit-learn, or Hugging Face Transformers.
  • Develop and maintain Python-based applications for AI solutions.
  • Work on Generative AI (GenAI) projects including LLM fine-tuning, prompt engineering, and integration into products.
  • Implement, train, and optimize models for NLP, computer vision, and predictive analytics use cases.
  • Build and orchestrate AI workflows using LangChain and LangGraph for LLM applications.
  • Deploy models into production environments, ensuring scalability and performance.
  • Collaborate with cross-functional teams to design AI-powered system features and integrations.
  • Develop APIs and services to serve AI/ML models in real-time applications.
  • Troubleshoot, debug, and continuously improve AI models and pipelines.
  • Stay up to date with advancements in AI/ML, GenAI, and emerging technologies.

Requirements:

  • 2-4 years of hands-on experience in AI/ML engineering.
  • Strong proficiency in Python with experience in AI/ML model development.
  • Practical experience with ML frameworks such as PyTorch, scikit-learn, and Hugging Face Transformers.
  • Exposure to Generative AI (LLMs, embeddings, prompt engineering, and vector databases).
  • Hands-on experience with LangChain and LangGraph for building agentic AI workflows.
  • Experience in NLP, computer vision, or predictive analytics projects.
  • Solid understanding of model deployment via REST APIs (FastAPI/Flask).
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML deployment.
  • Experience with Git version control and CI/CD practices.
  • Knowledge of Docker/Kubernetes for containerized AI deployments (preferred).
  • Strong problem-solving skills and ability to work in collaborative environments.

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