Who We Are
delphai is in one of the most exciting phases of a startup: Over the past three years, we have developed our software and brand while creating relationships with well-known international organizations (e.g., ABB, Volkswagen, and Siemens). Our proprietary software suite uses state-of-the-art machine learning and natural language processing to sift through a wealth of big data on technology, business, and market developments to help decision-makers make more and better decisions, faster.
delphai allows users to thrive in their industries by revealing their best partners, future customers, and key competitors. delphai is a highly automated company data integration machine. Our software makes accessing and understanding tailored market data as easy as using a search engine but built for B2B.
Tasks
- Apply advanced knowledge of data extraction and processing and build machine learning models that leverage our unique firmographics data
- Implement cutting-edge NLP models from research in practical and scalable algorithms
- Build and own end-to-end infrastructure from exploring data, designing, training, testing and deploying models to monitoring accuracy rates over time
- Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
- Closely collaborate with a talented cross-functional team of data, MLOps, and software engineers to bring your algorithms to life
Requirements
- Bachelor or master’s degree in statistics, econometrics, computer science, electrical or computer engineering, computational linguistics, or a related field
- Minimum of 3 years hands-on-experience developing and deploying ML or DL models and developing applications using AI and NLP in a professional industrial setting
- Demonstrated ability to design, implement, and evaluate information extraction models (NEL, key phrase extraction, relation extraction)
- Experience working with and processing large text data sets or doing large-scale quantitative analysis
- Proficiency in Python and experience with common ML frameworks and tools, libraries, data structures, and data modeling
- Ability to write robust, production-ready code and familiarity with software engineering and architecture best practices
- Up-to-date with state-of-the-art NLP breakthroughs, models, and architectures
- A proactive, self-motivated, and flexible approach with the ability to work in a fast-paced startup environment
- Strong communication skills and ability to work with multiple stakeholders
- Excellent interpersonal skills and ability to work independently as well as within your team
Benefits
- High level of responsibility and autonomy with a steep learning curve
- A competitive salary
- Generous educational budget tailored to your personal career goals
- Flat hierarchies and short decision paths
- Five weeks of paid vacation per year
- Fruit basket and breakfast cereal bar
- Language courses
- Generous budget to spend on healthcare needs