Senior Data Scientist, CRM
General Motors
AzureCloudNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
Senior Software Engineer, Data Science
General Motors
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $134,000 - $205,000 per year
Job Level
Senior
Tech Stack
AzureCloudDockerKubernetesMicroservicesPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment
- Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs
- Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs
- Apply statistical methods, anomaly detection, and clustering to uncover patterns
- Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights
- Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets
- Create interactive data visualizations to communicate and interpret complex data
- Design and build supervised and unsupervised ML models
- Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services)
- Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments
- Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms
- Mentor junior level employees, providing coaching and guidance on difficult issues
- Contribute to executive decision-making, product launch strategies, and data-driven quality improvements
- Collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction
Requirements
- Bachelor’s in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience
- 5+ years of experience building and deploying advanced machine learning or deep learning systems in production
- Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh)
- Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks)
- Experience with MLOps tools and deploying models via containerized microservices on cloud platforms
- Data Visualization using PowerBI, Databricks Apps, Azure Apps
- Exceptional analytical and independent problem-solving capabilities
- Strong listening and communication skills and ability to collaborate cross-functionally
- Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues
- GM does not provide immigration-related sponsorship for this role (no H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
- This job is not eligible for relocation benefits
Similar jobs on JobTailor
Agentic AI Engineer
Leidos
AzureCloudDockerGoogle Cloud PlatformKubernetesLinuxOpen SourcePythonPyTorchSDLCTensorflowVMware
Senior Python Developer
Devsinc
AWSAzureCassandraCloudDjangoDockerFlaskGoogle Cloud PlatformGraphQLKubernetesMicroservicesMongoDB+7 more
Senior AI/ML Engineer
Crinetics Pharmaceuticals
AzureCloudPythonPyTorchScikit-LearnSQLTensorflow
Senior AI Developer
Accellor
AngularAWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesPythonPyTorch+3 more