Job description

Job Summary

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Proven experience in developing and deploying generative AI models on Microsoft Azure platform.
Strong knowledge and experience (preferable) in Microsoft OpenAI platform
Strong knowledge and experience (preferable) in NLP, GPT, LLM on Microsoft platform
Deep understanding of machine learning algorithms, deep learning frameworks, and natural language processing techniques.
Proficiency in programming languages such as Python, R, or Scala, with experience in building and deploying AI models.
Hands-on experience with Azure services such as Azure Machine Learning, Azure Databricks, Azure Cognitive Services, Azure Functions, and Azure DevOps.
Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
Excellent communication skills with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Certifications in Microsoft Azure AI or related areas are highly desirable.

Key Responsibilities

Design, development, and implementation of generative AI models on Microsoft Azure platform.
Work closely with data scientists, architects, and stakeholders to understand business requirements and translate them into technical specifications.
Architect scalable and efficient AI pipelines leveraging Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and other relevant Azure services.
Lead the development of AI models using programming languages such as Python, R, or Scala, ensuring high performance and reliability.
Collaborate with DevOps teams to establish CI/CD pipelines for model deployment and monitoring.
Conduct code reviews, provide technical guidance, and mentor junior developers to ensure best practices and standards are followed.
Stay updated with the latest advancements in AI, machine learning, and cloud computing, and incorporate them into the development process.
Drive innovation by exploring and evaluating new AI technologies, frameworks, and methodologies.

Design, development, and implementation of generative AI models on Microsoft Azure platform.
Work closely with data scientists, architects, and stakeholders to understand business requirements and translate them into technical specifications.
Architect scalable and efficient AI pipelines leveraging Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and other relevant Azure services.
Lead the development of AI models using programming languages such as Python, R, or Scala, ensuring high performance and reliability.
Collaborate with DevOps teams to establish CI/CD pipelines for model deployment and monitoring.
Conduct code reviews, provide technical guidance, and mentor junior developers to ensure best practices and standards are followed.
Stay updated with the latest advancements in AI, machine learning, and cloud computing, and incorporate them into the development process.
Drive innovation by exploring and evaluating new AI technologies, frameworks, and methodologies.

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