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1 Day ago

Machine Learning Engineer - Data Modeling

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Bangalore, Karnataka, India
Information Technology
Full-Time
QAAgility Technologies

Overview

Role : Machine Learning and AI Engineer

Exp : 4+ Years

Type : Hybrid

Location : Bangalore

  • We are looking for a skilled Mid-Level AI Engineer with extensive experience in building full-stack AI solutions.
  • The ideal candidate will have a strong foundation in Machine Learning and Deep Learning

algorithms, proficient in frameworks like TensorFlow and PyTorch.

  • Expertise in Large Language Models (LLMs) such as OpenAI, Gemini, DeepSeek and other reasoning models.
  • Familiarity with Knowledge Graphs is a plus.
  • Additional qualifications include proficiency in Python frameworks like FastAPI and Django, along with extensive experience on Azure platforms - including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is highly desirable.
  • Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms.
  • Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch.
  • Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications.
  • Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability.
  • Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models.
  • Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions.
  • Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications.
  • Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency.
  • Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning.
  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms.
  • Strong expertise in frameworks such as TensorFlow and PyTorch for model development.
  • Demonstrated experience with NLP and Computer Vision applications.
  • Proficient in working with Large Language Models (OpenAI, Gemini, LLama).
  • Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB,

Databricks, and Azure Machine Learning.

  • Strong knowledge of Python frameworks such as FastAPI and Django.
  • Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable.
  • Excellent problem-solving abilities and capacity to work in a dynamic environment.

(ref:hirist.tech)
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