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5-10 Years
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  • Posted a month ago
  • Over 100 applicants have applied

Job Description

Job Responsibilities

  • Designing and developing complete end-to-end machine learning pipelines for document processing and analytics use cases, utilizing large language models.
  • Conduct feasibility studies to create, analyze, and implement innovative algorithms for complex problem statements
  • Collaborate with other machine learning professionals within Hexagon's AI Hub and engage with stakeholders across various Hexagon divisions across the world.

Education / Qualifications

A university degree (Bachelor's / Master's) in artificial intelligence, computer science, electrical engineering or mathematics

 

Required skills:

  • At least 5 years experience in Machine Learning and/or Natural Language Processing domain
  • At least 5 years experience in Machine Learning and/or Natural Language Processing domain
  • Proven experience in the training, evaluation, and deployment of AI/ML models, covering all stages from data ingestion to model deployment.
  • Proficiency with deploying and using LLMs
  • Experience and proficiency in prompt engineering
  • Proficiency in Python, along with practical experience with Python or Tensor Flow.
  • Eagerness to stay up to date with the latest trends and technologies in the NLP domain
  • Experience in building, deploying, and managing ML pipelines in public clouds (AWS, Azure)
  • Exceptional communication and collaboration skills

Nice to have:

  • Experience working on Gen AI tools
  • Expertise with large vision models and graph neural networks
  • Experience with data curation
  • Experience with related tools such as SQL/NoSQL, Docker, Kubernetes.

 

More Info

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