AI ML Architect (Legaltech)

TL;DR

AI ML Architect (Legaltech): Developing and deploying AI/ML models leveraging GenAI for natural language understanding and insights extraction, with an accent on named entity recognition and entity linking tailored to legal domain data. Focus on building scalable NLP pipelines, improving search, classification, and recommendation features, and integrating AI capabilities seamlessly into the web platform.

Location: Remote.Bulgaria, Remote.Poland

Company

hirify.global is a outsourcing company.

What you will do

• Develop and deploy AI/ML models leveraging GenAI (OpenAI API) for natural language understanding, summarization, and insights extraction.
• Build named entity recognition (NER) and entity linking solutions tailored to legal domain data (law firms, cases, deals, people).
• Implement scalable NLP pipelines for processing news, legal documents, and transaction data from multiple sources.
• Design, train, and evaluate ML models to improve search, classification, and recommendation features.
• Collaborate with AWS teams to deploy and maintain models using SageMaker, manage datasets on S3, and ensure reliable operation and scalability.
• Integrate AI capabilities seamlessly into the web platform, working alongside front-end and backend engineers.

Requirements

• Strong experience designing and implementing end-to-end AI/ML solutions in production environments.
• Hands-on experience with GenAI, including practical usage of the OpenAI API.
• Solid background in NLP, with hands-on experience in Named Entity Recognition (NER) and entity linking.
• Hands-on experience working with AWS, including services such as SageMaker and S3.
• Strong Python skills with practical experience using TensorFlow, PyTorch, and Hugging Face Transformers.
• Practical experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
• Proven experience building and implementing Recommendation Engines.

Nice to have

• Experience architecting scalable AI/ML systems on Amazon Web Services.
• Experience working with complex, data-intensive machine learning pipelines.
• Experience combining NLP, GenAI, and recommendation systems within a single solution.

Culture & Benefits

• Vacation as per the laws of your country.
• Health insurance policy for you and your loved ones.
• Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country.
• Time off for state holidays according to the official calendar.
• Pleasant environment with corporate parties and get-togethers for colleagues.
• Comfort service solving technical and everyday problems at work.