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AI Engineer || 12 Lakhs CTC

5 - 10 years

12 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Dear Candidate,

Azure AI

Responsibilities:

  • Develop and implement AI-driven applications using Azure AI and

    Cognitive Services

    .
  • Design and deploy machine learning models to enhance automation and decision-making processes.
  • Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics.
  • Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions.
  • Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness.
  • Ensure best practices in cloud security, data governance, and compliance.
  • Monitor, maintain, and troubleshoot AI and IoT solutions in production environments.
  • Stay updated with the latest advancements in AI, ML, and

    IoT technologies

    to drive innovation.

Required Skills and Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • Strong experience with Azure AI, Cognitive Services, and Machine Learning.
  • Proficiency in IoT architecture, data ingestion, and processing using

    Azure IoT

    Hub

    ,

    Edge

    , or related services.
  • Expertise in deploying and managing machine learning models in cloud environments.
  • Strong understanding of RESTful APIs, microservices, and cloud-native application development.
  • Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Knowledge of cloud security principles and best practices.
  • Excellent problem-solving skills and the ability to work in an agile development environment.

Preferred Qualifications:

  • Certifications in Microsoft Azure AI, IoT, or related cloud technologies.
  • Experience with Natural Language Processing (NLP) and Computer Vision.
  • Familiarity with big data processing and analytics tools such as Azure Data.
  • Prior experience in deploying edge computing solutions.

Soft Skills:

  • Problem-Solving:

    Ability to analyze complex problems and develop effective solutions.
  • Communication Skills:

    Strong verbal and written communication skills to effectively collaborate with cross-functional teams.
  • Analytical Thinking: Ability to think critically and analytically to solve technical challenges.
  • Time Management:

    Capable of managing multiple tasks and deadlines in a fast-paced environment.
  • Adaptability:

    Ability to quickly learn and adapt to new technologies and methodologies.

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