Senior Python Engineer
RunwiseFull Time
Senior (5 to 8 years)
Candidates should possess an MSc or MTech degree in Computer Science, Engineering, or a related field, with a Bachelor's degree being considered with at least 5 years of relevant experience. Strong scripting skills in Python, particularly with the Pandas library, are required, along with proficiency in SQL, RDF, and Unix/Linux environments. Familiarity with Elasticsearch and data visualization tools is preferred, as is experience with cloud computing infrastructure, data versioning tools like Git and DVC, and orchestration frameworks such as Airflow.
The Senior Data R&D Engineer will be responsible for text processing in multiple languages, extracting content from databases, developing and maintaining CI/CD pipelines for data, writing web scrapers and spiders, and developing research tools. They will also conduct testing and monitoring of the team’s infrastructure, ensuring data purity and relevance for speech recognition and NLU models, and contributing to the organization and performance of data pipelines.
AI solutions for automotive in-car experiences
Cerence develops AI-powered solutions specifically for the automotive industry, focusing on improving the in-car experience for drivers and passengers. Their products include voice recognition systems and AI-driven assistants that enhance entertainment, connectivity, and safety while driving. Cerence collaborates with major automotive manufacturers to integrate these technologies into vehicles, such as the Mercedes Benz User Experience. Unlike many competitors, Cerence emphasizes a comprehensive approach that includes ongoing support and upgrades, ensuring their technology adapts to trends like smart cities and electric vehicles. The company's goal is to transform transportation and shape the future of mobility through innovative and user-friendly solutions.