Senior Technical Lead

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.