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.

Skill Requirements

Must Have Skill

Gen AI,Workday AI and Machine Learning

Good to Have Skill

Other Requirements

- 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 effective 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.

📌 Sr Administrator (Support & Operations) (India)
🏢 HCLTech
📍 India