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.
