The Role
The role involves developing AI/ML models, particularly for image analysis and defect detection. It requires knowledge of machine learning technologies and experience in regulated industries. Responsibilities include automation system development and cross-functional collaboration.
Summary Generated by Built In
• Experience with automated inspection systems development and implementation.
• Hands-on experience developing AI/ML models for image analysis, defect detection, classification, or process optimization.
• Experience with Computer Vision technologies and industrial camera systems.
• Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
• Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
• Basic knowledge of statistical analysis using Minitab, JMP, or other statistical software.
• Understanding of inspection development processes and validation methodologies.
• Experience generating technical documentation, protocols, reports, and development records.
• Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
• Strong project management and problem-solving skills.
• Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
• Quality and compliance-oriented mindset with attention to detail.
• Computer literate with proficient use of Artificial Intelligence (AI) tools and digital technologies.
• Experience in regulated industries such as pharmaceutical, biotechnology, medical devices, or manufacturing is a plus.
• Experience deploying or integrating AI solutions into manufacturing or operational environments is highly desirable.
Requirements
Please verify Education and years of education& areas of expertise requested;
- Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
- Alternatively, Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
- Alternatively, Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
- Alternatively, High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
• Highly prefer Computer Engineering or Computer and Special Courses or certificates in AI model
Skills Required
- Doctorate or Masters + 2 years experience in data science, business, or related field
- Bachelors + 4 years experience in data science, business, or related field
- Associates + 8 years experience in data science, business, or related field
- High school/GED + 10 years experience in data science, business, or related field
- Computer Engineering or related courses or certificates in AI modeling
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The Company
What We Do
ISPV Inc. is a Life Science company that leads Productivity & Validation projects for the Pharmaceutical and Food industries.
