Visionary AI Architect Position Available

1 day ago

Noida, Uttar Pradesh, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity">

We are seeking a visionary AI Architect to lead the design, development, and implementation of cutting-edge AI solutions. The ideal candidate will have a strong background in machine learning, data engineering, cloud architecture, and enterprise-grade solution design.

Key Responsibilities:
  • Lead the design and architecture of AI/ML solutions across the organization.
  • Collaborate with data scientists, engineers, product owners, and business leaders to define AI use cases and deliverables.
  • Define architecture standards and best practices for AI solution development and deployment.
  • Ensure AI models are scalable, robust, and integrated with existing systems and data platforms.
  • Oversee end-to-end MLOps processes, including versioning, monitoring, and continuous integration/deployment (CI/CD).
  • Evaluate and select AI tools, frameworks, and technologies aligned with enterprise needs.
  • Stay current on AI/ML trends, tools, and regulations (including ethical AI practices).
  • Provide technical leadership and mentorship to development teams.
  • Prepare architecture documentation and presentations for stakeholders and leadership.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Proven experience in architecting AI/ML solutions in cloud environments (AWS, Azure, or GCP).
  • Deep understanding of machine learning algorithms, NLP, computer vision, and deep learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong proficiency in Python and relevant ML libraries.
  • Solid experience with data engineering pipelines, data lakes, and APIs.
  • Familiarity with MLOps platforms (e.g., MLflow, Kubeflow, SageMaker, Azure ML).
  • Strong knowledge of software architecture patterns and microservices.
  • Excellent communication, stakeholder management, and documentation skills.

Preferred Qualifications:

  • AI/ML certification (e.g., Google Professional ML Engineer, AWS Machine Learning Specialty).
  • Experience working in regulated industries (healthcare, finance, etc.).
  • Familiarity with Generative AI, LLMs (like GPT), and Responsible AI principles.
  • Experience in DevOps or Infrastructure as Code (e.g., Terraform, Docker, Kubernetes).

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