TL;DR
Senior AI/ML Engineer (AI): Developing advanced NLP and GenAI-powered features for a legal data platform with an accent on entity recognition, content summarization, and scalable ML pipelines. Focus on designing and deploying AI models, integrating with AWS services, and enhancing legal domain data processing.
Location: Remote with multiple office locations across Europe and Central Asia
Company
hirify.global is a product company building AI-powered data-driven platforms for legal recruiting and analytics.
What you will do
- Develop and deploy AI/ML models using GenAI (OpenAI API) for NLP tasks including summarization and insights extraction
- Build named entity recognition and entity linking solutions tailored to legal domain data
- Implement scalable NLP pipelines processing news, legal documents, and transaction data
- Design, train, and evaluate ML models to improve search, classification, and recommendations
- Collaborate with AWS teams to deploy and maintain models using SageMaker and manage datasets on S3
- Integrate AI capabilities into the web platform alongside frontend and backend engineers
Requirements
- Strong experience with GenAI technologies, especially OpenAI API
- Proven expertise in NER and entity linking on domain-specific data
- Solid background in NLP workflows including tokenization, embedding, classification, summarization
- Hands-on experience with Python ML frameworks: TensorFlow, PyTorch, Hugging Face Transformers
- Experience deploying ML models on AWS (SageMaker, S3, Lambda)
- Good software engineering practices and version control (Git)
Nice to have
- Experience with knowledge graphs or graph databases for entity linking
- Experience with real-time data ingestion and analytics pipelines
- Familiarity with containerization technologies like Docker and Kubernetes
- Interest or experience in legal tech domain data
Culture & Benefits
- Vacation as per local laws with encouragement to rest properly
- Assistance with health insurance policies for employees and families
- 10 days sick pay without doctor's note, then as per local laws
- Time off for state holidays regardless of client schedule
- Corporate parties and regular social events
- Technical and everyday problem-solving support at work
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