The Role
Develop and deploy AI/ML solutions for manufacturing process and task optimization. Provide manufacturing support, build models (ML/DL/LLMs), integrate AI into operational environments, perform statistical analysis, produce technical documentation, follow GDP and quality systems, and collaborate with cross-functional teams to ensure compliant, quality-oriented implementations.
Summary Generated by Built In
• Experience providing Manufacturing support (if vials filling, preferred).
• Experience deploying or integrating AI solutions into manufacturing or operational environments.
• Artificial intelligence, software development and computer literacy knowledge.
• Hands-on experience developing AI/ML models for process or task optimization.
• 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 JMP, or other statistical software
• 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.
Requirements
Doctorate OR Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
OR Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
OR Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
OR High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Highly preferred;
• Prefer Computer Engineering or Computer Sciences degree
• Special Courses or certificates in AI models
Skills Required
- Experience providing manufacturing support (vials filling preferred)
- Experience deploying or integrating AI solutions into manufacturing or operational environments
- Hands-on experience developing AI/ML models for process or task optimization
- 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 JMP or other statistical software
- 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 AI tools and digital technologies
- Doctorate OR Masters + 2 years OR Bachelors + 4 years OR Associates + 8 years OR High school/GED + 10 years in data science, statistics, applied mathematics, analytics, engineering, computer science or related field
- Prefer Computer Engineering or Computer Sciences degree
- Special courses or certificates in AI models
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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.









