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Predigle - AI Engineer - Machine Learning/Python

13 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Location :

Chennai / Remote-friendly

Experience Level :

13 Years

Job Type :

Full-Time

About The Role

We are seeking a highly motivated AI Engineer with a strong background in Generative AI, Large Language Models (LLMs), and applied machine learning. The ideal candidate should be passionate about solving real-world problems using cutting-edge AI technologies and experienced in developing, deploying, and optimizing end-to-end ML pipelines.

Key Responsibilities

  • Design, build, and deploy AI solutions leveraging LLMs (e.g., OpenAI, Hugging Face, Cohere) for document intelligence, automation, and Q&A systems.
  • Integrate RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications.
  • Develop NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT).
  • Collaborate with product and engineering teams to integrate AI features into scalable platforms.
  • Work with tools like Lang Chain, Flask, and AWS/GCP to produce models.
  • Automate data extraction, classification, and analysis using Python, Selenium, and web scraping tools.
  • Use frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains.

Required Skills & Qualifications

  • Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields.
  • 1+ years of hands-on experience in building AI/ML models
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn.
  • Experience with LLM orchestration frameworks (LangChain or custom pipelines).
  • Exposure to cloud platforms like AWS, GCP, or Azure.
  • Strong understanding of NLP, Computer Vision, or Recommendation Systems.
  • Experience with SQL, data pipelines, and big data tools (Hadoop, Spark) is a plus.
  • Good understanding of explainable AI (XAI) and model interpretability.

Nice To Have

  • Projects or experience in healthcare AI, document processing, or legal/finance AI applications.
  • Familiarity with Flask/Django for API development.
  • Contributions to research or published papers in ML/NLP conferences.
(ref:hirist.tech)

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