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Tech Stack
Tools & technologiesGoogle Cloud PlatformPythonSQLTensorflow
About the role
Key responsibilities & impact- Develop systems to optimize operational performance across manufacturing platforms.
- Design, build, and deploy predictive models related to equipment utilization and performance enhancement.
- Analyze manufacturing data to identify bottlenecks and optimization opportunities for both short-term and long-term planning.
- Build and deploy LLM-based AI solutions to support fab operations, enabling smarter decision-making and improved operational efficiency.
- Collaborate closely with PMs, IT, and Core AI teams to drive cross-functional AI initiatives.
- Build interactive dashboards and visualizations to support data-driven decision-making.
- Work within the GCP environment for model training, deployment, and maintenance.
- Explore and implement MLOps, AutoML, and other advanced techniques to enhance model performance and reliability.
Requirements
What you’ll need- Master’s degree or above in Computer Science, Statistics, Engineering, or related fields
- 3+ years of experience in data science
- Proficient in Python, SQL, TensorFlow or other deep learning frameworks
- Skilled in data visualization tools
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLTensorFlowMLOpsAutoMLpredictive modelingdata analysisdata visualizationoperational performance optimizationequipment utilization
Soft Skills
collaborationcommunicationdecision-makingproblem-solvingcross-functional teamwork
Certifications
Master’s degreePhD
