AI / ML Engineer

3 - 6 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Research And Scoping

The core responsibilities for the job include the following:
  • Collaborate with stakeholders in various teams and departments to scope out potential business use cases.
  • Design, implement, and deploy state-of-the-art models, including LLMs and Generative AI frameworks.
  • Perform model optimization for performance, scalability, and accuracy.
  • Implement advanced feature engineering techniques for both structured and unstructured data.
  • Leverage leading libraries like TensorFlow and PyTorch for experimentation and production.
  • Build and optimize machine learning pipelines with tools like Vertex AI.

AI Agent Development

  • Design and implement autonomous AI agents aimed at optimization using custom prompting and agentic workflows.

Requirements

  • Have 3-6 years of experience in the Data Science / Machine learning domain.
  • Possess a bias for action with a track record of solving technical challenges creatively.
  • Experienced in 01 MVP development and iterative prototyping.
  • Knowledgeable and experienced in leveraging LLMs, RAG, and Agentic frameworks.
  • Passionate about staying up to date with AI trends and best practices.
  • Strong expertise in Python, proficiency in TensorFlow, PyTorch, and MLOps practices, experience in cloud-based deployment and machine learning frameworks.
  • Technical expertise - Hands-on experience with Gen AI, RAG, Graph AI, and LLMs.
  • Experience with cloud platforms such as AWS or GCP, including AI/ML services.
  • Knowledge of LLMs, vector databases, and applied Gen-AI techniques and frameworks (RAG, Agentic AI orchestration, LangChain, LlamaIndex, etc).
This job was posted by Vinola Mercy from Lifesight.

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