Bangalore, Karnataka, India
Information Technology
Full-Time
Predigle
Overview
Job Description : AI Engineer GenAI & Applied ML
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
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.
- 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.
- 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.
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