Advanced Artificial Intelligence Solutions Engineer

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeArtificialIntelligence Full time US$ 1,80,000 - US$ 2,40,000

Job Opportunity

We are seeking an experienced Artificial Intelligence Specialist to design and develop advanced artificial intelligence systems. This role will involve working with cutting-edge technologies, including LLMs, diffusion models, and transformer architectures.

About the Role

  • The successful candidate will have a strong background in AI/ML architecture, with at least 5 years of experience in enterprise-level projects.
  • They will be responsible for designing and developing AI/ML solutions that meet the needs of our business.
  • A key requirement for this role is the ability to work independently and as part of a team, to communicate complex technical concepts to non-technical stakeholders.
  • The ideal candidate will have a deep understanding of GenAI technologies, including LLMs, diffusion models, and transformer architectures.

Key Responsibilities

  1. Design and develop AI/ML architectures with at least 5 years of experience in enterprise-level projects.
  2. Develop deep understanding of GenAI technologies, including LLMs, diffusion models, and transformer architectures.
  3. Implement extensive experience with enterprise integration patterns, APIs, and middleware solutions.
  4. Utilize proficiency in cloud platforms (AWS, Azure, or GCP) and their AI/ML offerings.
  5. Apply strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  6. Maintain familiarity with DevOps and MLOps practices for AI model deployment and management.
  7. Ensure excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders.
  8. Comply with knowledge of data privacy regulations and AI ethics.
  9. Experience with graph databases and knowledge graphs for AI applications is desirable.

Requirements

  • 5+ years of experience in AI/ML architecture with at least 3 years focused on enterprise-level projects.
  • Deep understanding of GenAI technologies, including LLMs, diffusion models, and transformer architectures.
  • Extensive experience with enterprise integration patterns, APIs, and middleware solutions.
  • Proficiency in cloud platforms (AWS, Azure, or GCP) and their AI/ML offerings.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Familiarity with DevOps and MLOps practices for AI model deployment and management.
  • Excellent communication skills and ability to translate complex technical concepts to non-technical stakeholders.
  • Knowledge of data privacy regulations and AI ethics.
  • Experience with graph databases and knowledge graphs for AI applications.

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