Data Science Azure Gen AI ML Python Engineer

2 days ago


Coimbatore, Tamil Nadu, India Galent Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Company Description

Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries. Our mission is to empower organizations to thrive in an ever-evolving digital landscape through cutting-edge AI-native services, consulting, and digital engineering. We provide scalable, AI-enabled solutions that optimize processes, enhance productivity, and unlock new growth opportunities. By combining the latest advancements in AI with deep market insights, we drive meaningful outcomes and empower organizations to harness the full potential of AI, becoming leaders in their fields.

Role Description

This is a full-time role for a Data Science Azure Gen AI ML Python Engineer, located on-site in Coimbatore. The engineer will be responsible for developing and deploying advanced AI and machine learning models using Azure services and Python. Daily tasks include analyzing large datasets, designing and implementing AI solutions, and collaborating with cross-functional teams to solve complex challenges. The role involves applying statistical techniques and leveraging data science methodologies to drive business insights and innovation.

Qualifications

  • Strong proficiency in Data Science, Data Analytics, and Data Analysis
  • Analytical Skills and experience in Statistics
  • Experience deploying AI models using CI/CD and Azure DevOps pipelines.
  • Strong understanding of data governance, ethics in AI, and responsible AI practices.
  • Proficiency in Python for AI and machine learning model development
  • Experience with Azure cloud services
  • Excellent problem-solving skills and attention to detail
  • Ability to work collaboratively in a team environment on-site
  • Experience in the AI and digital engineering industry is a plus
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field


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