AI/ML Developer (2+)
amantra | 10 days ago | Indore

  • Develop, test, and implement machine learning models for business and product use cases.

  • Build AI-powered applications using Python, machine learning libraries, and relevant AI frameworks.

  • Work with Large Language Models (LLMs), prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).

  • Assist in developing AI agents and intelligent workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent tools.

  • Perform data preprocessing, feature engineering, model training, validation, and performance evaluation.

  • Integrate AI/ML models into applications using REST APIs and backend services.

  • Work with vector databases and document retrieval systems to support LLM-based applications.

  • Troubleshoot model performance issues and improve accuracy, reliability, and response times.

  • Write clean, reusable, maintainable, and well-documented code.

  • Collaborate with senior developers, product managers, and cross-functional teams to deliver AI-driven features.

  • Participate in code reviews, testing, debugging, and continuous improvement of AI applications.

  • Research emerging AI/ML tools and techniques and contribute to the adoption of relevant technologies.

Requirements

  • 2–4 years of hands-on experience in AI/ML development or a closely related field.

  • Strong proficiency in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.

  • Good understanding of machine learning algorithms, model training, validation, and evaluation techniques.

  • Practical exposure to Generative AI, LLMs, prompt engineering, and building AI-powered applications.

  • Familiarity with RAG pipelines, embeddings, and vector databases.

  • Experience with at least one deep learning framework, such as PyTorch or TensorFlow.

  • Familiarity with AI/ML frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent tools.

  • Experience developing or integrating REST APIs.

  • Working knowledge of Git, software development practices, and debugging techniques.

    • Strong analytical, problem-solving, and communication skills.

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