• Experience designing high quality NLP solutions using Tensorflow, Pytorch, etc and incorporating them into a highly scalable revenue generating enterprise SaaS solution
• You have worked closely with cross-functional team members including product management and key business stakeholders to deliver on the product road map
• Build quality control metrics and methodology to evaluate the quality of data annotation
• Design and develop data annotation guidelines and workflows
• Manage and process large amounts of structured and unstructured data
• Have built tools to assess model performance and evaluate drifts in quality
• Have a fearless attitude to experiment, explore, build and also mentor
• Bachelor’s or Master’s Degree in Computer Science, Data Science, Computational Linguistics, Natural Language Processing (NLP), or other related fields
• 5+ years experience as a software engineer, and prior experience implementing NLP at an enterprise level company
• Must have experience with one or more of deep learning frameworks/Tools such as Python, PyTorch, TensorFlow, Scikit-learn
• Must have experience with data processing and manipulation preferable with Go or Python
• Experience working with and fine tuning existing models esp from Hugging Face
• Experience translating AI/ML solutions from prototype to production scale
• Excellent communication and strong organizational skills with a keen eye for details

Desirable

• Dealpath is looking for an experienced AI/ML Engineer to join our growing team, delivering best-in-class solutions for the Commercial Real Estate industry
• This is an opportunity to join a team of innovators and play a critical role by utilizing your NLP expertise to define, explore, build and deliver state-of-the-art ML solutions for document processing and search that are crucial for company growth and product roadmap
• This is a high visibility product engineering initiative and you will be working alongside Engineers who have delivered a category creating enterprise SaaS platform
• Dealpath is the leading SaaS deal management platform that empowers firms involved in the acquisition, development, and financing of commercial real estate assets
• Build document Parsing, NER, RAG, Chatbot and document generation systems
• Build robust data and ML pipelines for production scale and performance
• Build tools to evaluate and monitor model performance and accuracy, for both personal and org wide use
• You will work closely with cross-functional teams, especially product management to define, build and adapt ML solutions to enhance our customer experience
• Lead evaluation, prototype and integration of various Open and Closed source LLM in a privacy preserving manner to identify best use cases
• Monitor the ML Pipelines to detect the performance, data & model drift
• Be involved in technology research, capability building across newer technologies and tools in Machine Learning / Deep Learning/ Artificial Intelligence and Advanced Analytics ecosystem at scale