Data Scientist and AI Engineer
At a glance
Mid-level AI Research role at onsemi. Carmona · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop predictive and prescriptive analytics for manufacturing processes to support better production decisions
- Build and deploy machine learning and AI models, along with data models for manufacturing analysis
- Examine production, process, quality and equipment data to find ways to improve yield and equipment performance
- Work with manufacturing engineers and business stakeholders, then present findings to technical and business audiences
- Support smart manufacturing and Industry 4.0 work aimed at improving productivity and operational efficiency
What you bring
- A bachelor's or master's degree in data science, computer science, engineering, statistics or a related discipline
- At least five years of work in analytics, machine learning or AI
- Strong grounding in data modeling, machine learning, artificial intelligence and statistical analysis
- Experience handling large structured and unstructured datasets, plus programming in Python, SQL or related technologies
- Experience with Azure, OCI or Snowflake platforms
Who this fits
This role suits someone who combines data science and AI skills with an interest in manufacturing operations. Semiconductor manufacturing experience is preferred, while knowledge of MES, SPC and process control is an advantage. The role is based in Carmona, Philippines.
From the employer
The Data Scientist / AI professional will focus on developing advanced analytical and AI solutions to improve semiconductor manufacturing operations. This role combines expertise in data science, AI, and manufacturing domain knowledge to enhance production performance, yield optimization, and operational efficiency.
Key Responsibilities
- Develop predictive and prescriptive analytics solutions for manufacturing processes.
- Design and implement machine learning and AI models.
- Build comprehensive data models supporting manufacturing analytics.
- Analyze production, process, quality, and equipment data.
- Collaborate with manufacturing engineers and business stakeholders.
- Support smart manufacturing and Industry 4.0 initiatives.
- Deliver insights that improve yield, productivity, and equipment performance.
- Present findings and recommendations to technical and business audiences.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or related discipline.
- 5+ years of experience in analytics, machine learning, or AI.
- Strong knowledge of:
- Data Modeling
- Machine Learning
- Artificial Intelligence
- Statistical Analysis
- Experience working with large-scale structured and unstructured data.
- Excellent analytical and problem-solving abilities.
- Semiconductor manufacturing experience is preferred
- Knowledge of manufacturing execution systems (MES), SPC, and process control is an advantage
- Experience with Azure, OCI, or Snowflake platforms.
- Programming experience in Python, SQL, or related technologies.