Senior Data R&D Engineer (Python, Research Tools Development)
Core
Building and maintaining the data backend for speech recognition, NLU, and AI models to ensure systems are aware of named entities and content is pure and relevant for automotive voice assistants.
Role type
Senior Data R&D Engineer (Python, Research Tools Development)
Builds
Data pipelines, research tools, and web scrapers for automotive voice assistant data.
Domain
Automotive AI / Speech Recognition / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (Pandas), JavaScript, Spark/Pyspark, SQL/RDF, Unix/Linux, Elasticsearch, Data Visualization, Cloud computing infrastructure, Text data parsing and data mining, Data versioning tools (GIT, DVC), Orchestration frameworks (Airflow), Text encoding, Natural language understanding, Data science, Speech recognition
Preferred skills
None explicitly stated as preferred beyond the required list in the source text; the source lists many items under 'What You Bring' without distinguishing required vs preferred clearly, but the prompt asks to extract facts stated explicitly. The text lists 'preferred skill' for several items. I will list those as preferred.
Preferred skills
Elasticsearch & Data Visualization, Cloud computing infrastructure, Text data parsing and data mining, Data versioning tools (GIT, DVC), Orchestration frameworks (Airflow), Text encoding, Natural language understanding, Data science, Speech recognition, Knowledge of multiple languages (Indian and international)
Technologies
Python, Pandas, JavaScript, Spark, Pyspark, SQL, RDF, Elasticsearch, GIT, DVC, Airflow, Unix, Linux
Responsibilities
Text processing in multiple languages, Extract content from databases, CI/CD for data pipelines, Write web scrapers and spiders, Development of research tools, Testing and monitoring of the team's infrastructure
Seniority
Senior, hands-on IC
