Junior AI Engineer

Work Schedule

Environmental Conditions

Job Description

As part of the Thermo Fisher Scientific team youll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the worlds toughest challenges like protecting the environment making sure our food is safe or helping find cures for cancer.

DESCRIPTION:

We are looking for an AI Engineer to join our growing AI Engineering team supporting Global Business Services (GBS) Digital this role you will help design develop and implement AI-driven solutions that enhance operational efficiency across global finance and shared service teams.

You will work closely with cross-functional stakeholders to identify opportunities build prototypes and support the adoption of AI and machine learning solutions across the organization.

KEY RESPONSIBILITIES:

• Build and test AI/ML models systems and prototypes to solve business problems
• Support integration of AI solutions with existing systems and workflows
• Work with cross-functional teams to customize and configure third-party AI tools
• Participate in data preparation analysis and model evaluation
• Monitor and improve model performance and solution effectiveness
• Contribute to documentation demos and knowledge sharing to support adoption
• Stay updated with emerging AI trends and tools

CORE QUALIFICATIONS:

• Bachelors degree in Computer Science Data Science AI or related field
• 03 years of experience in AI Machine Learning or Data Science
• Understanding of AI/ML fundamentals prompt engineering embeddings and RAG concepts
• Familiarity with LLMs such as OpenAI GPT Claude Gemini or Llama
• Understanding of the AI/ML lifecycle including training evaluation and monitoring
• Experience with Python data processing and version control tools (e.g. Git)
• Familiarity with API integration concepts and RESTful services
• Strong analytical problem-solving and prototyping skills
• Good communication skills and ability to work with cross-functional teams

NICE TO HAVE SKILLS:

• Experience integrating AI/LLM APIs into applications or systems
• Familiarity with semantic search vector embeddings or AI workflows
• Experience with cloud platforms such as AWS Azure or GCP
• Familiarity with Docker Kubernetes or LLMOps tooling
• Experience with vector databases or RAG pipelines