layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Robotics Data Engineer/Data Scientist at General Motors | LAYIQ

Design, build, and maintain end-to-end data and data science solutions for robotics data ingestion, processing, storage, analysis, visualization, and application access.
Create and optimize scalable data pipeline architecture for multimodal robotics and manufacturing data, including sensor streams, telemetry, images, time series, metadata, and operational data.
Partner with robotics, manufacturing, business, and data science stakeholders to define requirements, resolve data issues, and support evolving infrastructure needs.
Build high-quality analytic datasets and delivery mechanisms that support business intelligence, analytics, model development, production monitoring, and decision support.
Apply statistical analysis, machine learning, and data science methods to identify patterns, diagnose issues, and improve system performance.
Translate real-world robotics behavior, anomalies, and failure modes into curated datasets, actionable insights, and measurable improvement loops.
Enable reproducible analytics and model development through data versioning, lineage, traceability, experiment tracking, and production-grade MLOps workflows.
Build and maintain internal tools, APIs, master data, metadata, logical data models, and data standards that improve usability, governance, scalability, and reliability.
Drive process and infrastructure improvements through automation, optimized data delivery, stronger engineering standards, and sound technical architecture.
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Data Science, Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
5+ years of professional experience in data engineering, software engineering, machine learning engineering, applied data science, or a closely related role.
Strong programming skills in Python and at least one additional language such as Java, C++, or Scala.
Experience building and supporting production-grade data pipelines, backend services, APIs, and full stack data applications at scale.
Hands-on experience with big data, streaming, and distributed systems technologies such as Hadoop, Spark, Kafka, Spark Streaming, Storm, PostgreSQL, Cassandra, or similar platforms.
Experience with cloud platforms, data orchestration frameworks, and data modeling for analytics, business intelligence, and machine learning use cases.
Experience applying data science or machine learning techniques to real-world engineering or operational problems.
Strong software engineering fundamentals, including version control, testing, CI/CD, documentation, automation, and production support.
Strong problem-solving, organizational, communication, and cross-functional collaboration skills in a dynamic environment.

Senior Robotics Data Engineer/Data Scientist

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