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19 Jul 2024

Senior Machine Learning Engineer at Proten International

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Job Description

Proten International is a leading international Human Resource and Management Consulting firm which provides a range of Advisory and Transformation solutions. Our focus is to align every organisation’s activities relating to People, Process and Technology closely with its business strategy and vision.

About the Role

A leading company that is innovating the healthcare and consumer goods sectors is seeking a Senior Machine Learning Engineer. The engineer will be instrumental in developing cutting-edge solutions that leverage large language models (LLMs) and other machine learning techniques. Our team is committed to creating products that revolutionize how our customers interact with healthcare and consumer products. This is an excellent opportunity for candidates to apply their expertise in a dynamic and challenging environment

Requirements

Qualifications

  • Design and develop machine learning models and systems to enhance product capabilities.
  • Collaborate with a diverse team of engineers to drive innovation and solve complex problems.
  • Implement and optimize prompt engineering, RAG, and agents for LLMs and Generative AI.
  • Utilize cloud services (Azure, GCP, AWS) to deploy and manage machine learning solutions.
  • Communicate effectively with business stakeholders and subject matter experts to align technical solutions with business needs.

Required Skills:

  •  Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
  •  Minimum of 5 years of relevant experience in machine learning engineering.
  •  At least 3 years of experience in building and deploying machine learning models and systems.
  •  6+ months of hands-on experience with LLMs and Generative AI.
  •  Proficiency in programming with Python, Langchain, and SQL.
  •  Strong understanding of cloud services, including Azure, GCP, or AWS.
  •  Excellent communication skills for effective collaboration with business stakeholders.


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 31 July. 2024





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