delphai

Machine Learning Engineer (m/f/d)

Job description

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

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.