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DailoqaPosted 1 month ago

Sr. AI/ML Engineer

On-siteNoida, Uttar Pradesh, India

Full TimeSenior LevelBachelors DegreeSmall

Job Summary

Build scalable multi-modal Large Language Model (LLM) based AI agents using frameworks like LangGraph, Microsoft Autogen, or Crewai. Research and develop innovative solutions for Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Automate model deployment, monitoring, and retraining processes while collaborating with data scientists to review, refactor, and optimize machine learning code. Implement version control and governance for models and data, and construct datasets for training and evaluating machine learning models. This role requires a candidate with 5-8 years of experience in MLOps, DevOps, or related fields, proficiency in Python, PyTorch, and cloud platforms like Azure, and a strong track record in building datasets. We are an early-stage venture focused on delivering deep domain value to customers.

Required Qualifications

  • Bachelor's degree in computer science, Software Engineering, or a related field
  • 5-8 years of experience in MLOps, DevOps, or related roles
  • Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
  • Have strong familiarity and knowledge of machine learning concepts
  • Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform

Desired Qualifications

  • Experience with experiment tracking and model versioning tools.
  • You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQL Alchemy, Alembic, OpenAI, Docker, Azure, Typescript, React.
  • Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect
  • Familiarity with software testing and test automation practices
  • Understanding of ethical considerations in machine learning deployments
  • Strong problem-solving skills and ability to work in a fast-paced environment

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