AI Application Developer

Eligibility Criteria

Strong programming knowledge in Python or similar programming languages Understanding of Artificial Intelligence and Machine Learning concepts Knowledge of Large Language Models, NLP, or Generative AI concepts Ability to work with data pipelines and AI model workflows Good analytical and problem-solving skills Ability to collaborate with cross-functional teams

Responsibilities

• Design and develop AI-based applications and solutions
• Work with machine learning models and AI workflows
• Collaborate with data scientists and software engineers
• Implement AI features into production-level systems
• Test and validate AI model performance
• Improve performance and scalability of AI systems
• Maintain documentation and support deployment activities
• Job details markdown
• Thermo Fisher Scientific is a global leader in scientific research technology and healthcare solutions, with operations in more than 100 countries. The company develops advanced technologies that support life sciences, healthcare, diagnostics, and laboratory research worldwide.
• The AI Application Developer role focuses on designing and building intelligent software systems powered by artificial intelligence and machine learning. Engineers in this role collaborate with data scientists and product teams to build scalable AI-driven solutions used in scientific and healthcare applications.
• This role is ideal for fresh graduates and early-career engineers interested in Artificial Intelligence, Machine Learning, and modern software development, offering exposure to real-world enterprise AI systems and global technology teams.

Skills

• Ability to collaborate with cross-functional teams
• Python programming
• Machine Learning
• Artificial Intelligence
• Natural Language Processing (NLP)
• Generative AI
• SQL
• Data Processing
• Cloud platforms (AWS
• Azure
• or GCP)
• Debugging and optimization
• Software development lifecycle

Education

• B.E
• B.Tech
• M.E
• M.Tech
• Computer Science
• Information Technology
• Artificial Intelligence
• Data Science
• Or related technical fields