Machine Learning 5 to 11 Years Hyderabad and Chennai - Capgemini

Capgemini
Capgemini
Verified Company
Hyderabad, India

4 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

Job Description:


  • Identify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decisionmaking.
  • Design endtoend AI architectures that align with business objectives, considering data integration, model selection, and system scalability.
  • Lead discussions on AI solution design, providing technical leadership and insights to drive decisionmaking.
  • Lead the evaluation and selection of AI technologies, frameworks, and tools to support solution development.
  • Experience with business process analysis, process automation, and operational efficiency improvement is an advantage
  • Excellent communication skills and the ability to work collaboratively with crossfunctional teams.
  • Stay at the forefront of AI advancements, researching and evaluating emerging technologies to ensure our solutions remain cuttingedge and competitive.
  • Document architectural decisions, technical documentation that aids in solution understanding
  • Identify opportunities where AI and machine learning can be applied to streamline processes, automate tasks, and enhance decisionmaking.
  • Design endtoend AI architectures that align with business objectives, considering data integration, model selection, and system scalability.
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Qualification:

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Any Technical Graduate

Primary Skills:


  • Overall 12+ years of experience in leveraging artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations.
  • Minimum of 5 years of experience in designing and architecting AI solutions, with a strong focus on endtoend automation

Secondary Skills:


  • Proven expertise in machine learning techniques, deep learning frameworks, image processing and AIrelated technologies including Generative AI
  • Experience with one of the cloud platforms (e.g., AWS, Azure, Google Cloud)

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