Experience:

• 0–2 years of experience or relevant internships/projects in AI or Data Engineering

Qualification:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field

Responsibilities:

• Design, develop, and deploy machine learning, Generative AI, and Agentic AI solutions
• Build intelligent AI systems using prompt engineering, retrieval-augmented generation (RAG), multimodal AI, and autonomous reasoning frameworks
• Develop, integrate, and deploy AI/ML models and software applications in production environments including Azure and other cloud platforms
• Prepare, analyze, and manage structured and unstructured data including building data pipelines using platforms such as Snowflake
• Collaborate with cross-functional teams to embed AI into applications and create business dashboards

Additional responsibilities:

• Stay current with emerging AI trends and best practices

Nice to have:

• Experience in real-time AI applications, Generative AI, or LLMs
• Knowledge of Agentic AI frameworks such as AutoGPT, OpenAI's Assistants API, CrewAI

More skills:

Python, Java, C#, TensorFlow, PyTorch, Agentic AI systems, OpenAI APIs, cloud computing, AWS SageMaker, GCP AI, Azure ML, data preprocessing, feature engineering, model evaluation, Snowflake, MongoDB, Postgres

Other:

• Danaher Business System culture of continuous improvement
• Company has outperformed the S&P 500 by more than 5,000% over the past 25 years
• Opportunity to build a meaningful career with creativity and risk-taking supported
• Work involves high visibility business critical data applications and dashboards
• Partnership with customers globally to solve complex challenges