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Artificial Intelligence Engineer - NLP / Machine Learning

Artificial Intelligence Engineer - NLP / Machine Learning

Wits Innovation LabBangalore
14 days ago
Job description

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud

technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in

AI / ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text

Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems

using modern cloud platforms.

Responsibilities :

  • Design and develop advanced backend components, data systems, pipelines, and microservices for

AI-driven applications.

  • Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from
  • databases to serverless architectures.

  • Integrate and deploy AI models and services, including NLP, computer vision, and video processing
  • solutions.

  • Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent
  • applications.

  • Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions.
  • Follow best practices in software engineering, including CI / CD, testing, and documentation.
  • Requirements :

  • Proven experience as a senior software or data engineer, with a strong backend focus.
  • Advanced proficiency in Python, demonstrated through real-world projects.
  • Practical experience with backend technologies and frameworks.
  • Strong knowledge of CI / CD frameworks and DevOps practices.
  • Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services.
  • Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus.
  • Experience with Docker and Kubernetes for containerization and orchestration.
  • AI / ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable.
  • Data engineering experience is a strong advantage.
  • ref : hirist.tech)

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