Senior Machine Learning Engineer

Ontra is the leader in AI-powered solutions for the private markets, seeking a Senior Machine Learning Engineer to revolutionize legal tech. The role involves designing and scaling advanced machine learning systems focused on legal documents, enhancing AI capabilities, and collaborating with various teams to integrate AI solutions.

Responsibilities:

• ML System Design: Design, build, and scale advanced machine learning systems to automate the extraction of legal obligations and private equity relationships from complex private equity documents
• Model Development: Develop and fine-tune LLM solutions for legal workflows, enhancing the capabilities of Ontra’s AI systems with custom NER pipelines and AI search
• Collaboration and Integration: Work closely with product, design, data science, legal, and engineering teams to define project requirements and seamlessly integrate AI solutions into existing workflows
• Data and Pipeline Management: Review and refine datasets and machine learning pipelines to ensure they deliver high performance, scalability, and are tailored to evolving needs
• Production Deployment: Deploy and continuously monitor machine learning models in production, conducting experiments and implementing optimizations to improve model performance
• Workflow Improvement: Drive measurable improvements in legal review processes and enhance end-user productivity through advanced AI applications and tools

Requirements:

• 5+ years in applied machine learning or NLP roles
• Proficient understanding of transformer-based architectures, embeddings, and document-level NLP
• Demonstrated experience in deploying ML models in production environments, including the use of orchestration and monitoring tools
• Familiarity with AI search, vector stores (e.g. OpenSearch, Pinecone, Weaviate), or hybrid RAG systems
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field preferred