Responsibilities

Responsibilities

• Design, implement, and validate machine learning models for defined use cases within LabPilot
• Develop data preprocessing, feature engineering, and model training pipelines
• Integrate AI components into existing software architecture
• Work with structured and semi-structured laboratory data
• Support deployment, testing, and monitoring of AI features in production
• Collaborate with global teams to translate requirements into technical solutions
• Participate in code reviews and follow established engineering best practices
• Assist in performance optimization and troubleshooting of AI modules
• Document technical approaches and maintain clear model traceability

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field
• 5-10 years of hands-on experience in software development with exposure to machine learning
• Practical experience with Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Understanding of supervised and unsupervised learning techniques
• Experience working with APIs and integrating ML components into applications
• Familiarity with data handling, preprocessing, and model evaluation techniques
• Basic understanding of software engineering principles (version control, testing, CI/CD concepts)

Preferred Characteristics

• Exposure to LLM-based applications, prompt engineering, or generative AI use cases
• Experience working with scientific, analytical, or laboratory data
• Understanding of cloud environments (AWS/Azure) and deployment pipelines
• Strong problem-solving ability with a pragmatic, solution-oriented mindset
• Ability to work in a cross-functional and global environment
• Good communication skills and ability to explain technical concepts clearly
• Self-driven, adaptable, and comfortable working in a fast-paced product environment

PerkinElmer is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, or veteran status or any other characteristics protected by applicable law. PerkinElmer is committed to a culturally diverse workforce.