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Ai Ml Engineer

  • Source: Naukri
  • Qylis
  • $12,699.76 to $15,874.7 /yr
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Job Summary

We are looking for an experienced AI/ML Engineer with 4+ years of experience in designing, developing, deploying, and maintaining Machine Learning and Artificial Intelligence solutions. The candidate should have strong experience in Python, Machine Learning, Deep Learning, Generative AI, LLMs, and production-level AI applications.

Key Responsibilities

  • Design, develop, train, and deploy Machine Learning and Deep Learning models.
  • Build scalable AI/ML solutions for real-world business problems.
  • Develop and optimize models using Python and relevant ML frameworks.
  • Work with structured and unstructured data for model development.
  • Develop applications using Generative AI, Large Language Models (LLMs), and NLP.
  • Implement RAG-based applications using vector databases and embedding models.
  • Fine-tune, evaluate, and optimize AI/ML models.
  • Integrate AI/ML models with backend applications and APIs.
  • Deploy models on cloud platforms such as AWS, Azure, or GCP.
  • Collaborate with Data Engineers, Software Developers, DevOps, and business teams.
  • Monitor model performance and continuously improve accuracy and efficiency.

Required Skills

  • 4+ years of experience in AI/ML development.
  • Strong programming experience in Python.
  • Experience with Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong understanding of Machine Learning and Deep Learning algorithms.
  • Experience with NLP, Generative AI, and Large Language Models (LLMs).
  • Experience with RAG, embeddings, vector databases, and prompt engineering.
  • Experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Knowledge of REST APIs and AI model integration.
  • Experience with AWS, Azure, or GCP.
  • Understanding of Docker, Git, and CI/CD pipelines.
  • Strong analytical and problem-solving skills.

Skills

  • Python
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Scikit-learn
  • Tensorflow
  • PyTorch
  • LangChain
  • LlamaIndex
  • Docker

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