AI Solutions Architect

2 weeks ago

Thoothukudi, Tamil Nadu, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

We are seeking a talented Artificial Intelligence Engineer to design and implement intelligent cloud infrastructures.

The ideal candidate will have expertise in AI/ML frameworks, cloud platforms, and MLOps tools. They will be responsible for designing scalable and performant AI solutions, integrating AI models into existing cloud infrastructure, and ensuring alignment with business strategy.

Key Responsibilities:

  • Designing and implementing AI-powered cloud infrastructures using AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.
  • Integrating AI models into existing cloud infrastructure and applications using cloud AI services such as Azure AI, AWS AI/ML, and Google AI Platform.
  • Ensuring scalability and performance of AI solutions, managing deployment and maintenance, and overseeing the deployment process.
  • Collaborating with various teams, working with data scientists, data engineers, and developers to implement AI solutions.

Required Skills and Qualifications:

  • Deep knowledge of AI/ML frameworks and cloud platforms.
  • Proficient with cloud AI services: Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform.
  • Experience with MLOps tools: Kubeflow, MLflow, Azure MLOps.
  • Strong programming skills in Python, R, or Java.
  • Understanding of data engineering concepts and cloud data platforms.

Benefits:

  • Opportunity to work on cutting-edge AI projects and contribute to the development of AI solutions.
  • Chance to collaborate with a team of experienced professionals in the field of AI and machine learning.
  • Professional growth and development opportunities.

Others:

  • Desired Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • 10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment.
  • Advanced AI/ML certifications - Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer.

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