AI Engineer

2 days ago

Bengaluru, Karnataka, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Artificial Intelligence Specialist

We are seeking a highly skilled AI engineer to design and develop innovative artificial intelligence solutions.

The ideal candidate will have extensive experience in building full-stack AI systems using various machine learning and deep learning algorithms.

Proficiency in frameworks like TensorFlow, PyTorch, and FastAPI is essential for this role.

The selected candidate will be responsible for developing and optimizing algorithms for NLP and computer vision applications.

Leveraging Azure platforms, the successful candidate will enhance application deployment and scalability.

Detailed knowledge of Python-based frameworks like FastAPI and Django is required.

Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is desirable.

Key Responsibilities:

  • Design and implement AI solutions using machine learning and deep learning algorithms.
  • Develop and optimize algorithms for NLP and computer vision applications.
  • Leverage Large Language Models (LLMs) to create intelligent applications.
  • Enhance application deployment and scalability on Azure platforms.
  • Apply rigorous algorithms to solve complex problems in AI.
  • Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications.

Qualifications:

  • Bachelor's or Master's 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 like TensorFlow and PyTorch for model development.
  • Demonstrated experience with NLP and computer vision applications.
  • Proficient in working with Large Language Models (Open AI, Gemini).
  • Extensive experience with Azure platforms.
  • Strong knowledge of Python frameworks.
  • Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is desirable.

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