AI Infrastructure Specialist

7 hours ago


Ghaziabad, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: AI Infrastructure Specialist

Role Overview:

As an AI Infrastructure Specialist, you will be responsible for designing and implementing scalable machine learning infrastructure solutions.

About the Job:

We are seeking a highly motivated and experienced AI engineer to join our team. The successful candidate will have a strong background in machine learning, deep learning, and software development.

Key Responsibilities:

  • Design and implement scalable machine learning infrastructure solutions using cloud-based services like AWS or Google Cloud.
  • Develop and deploy production-ready machine learning models using popular frameworks like TensorFlow or PyTorch.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
  • Stay up-to-date with emerging trends and technologies in the field of artificial intelligence.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • At least 3 years of experience in machine learning engineering and software development.
  • Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing techniques.
  • Proven ability to design and implement scalable machine learning infrastructure solutions.

Preferred Qualifications:

  • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
  • Experience with containerization using Docker and Kubernetes.
  • Experience with cloud-based services like AWS or Google Cloud.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.

How to Apply:

If you are passionate about machine learning and infrastructure engineering, please submit your resume and a cover letter explaining why you would be a great fit for this role. We look forward to hearing from you



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