Senior AI Engineer

March 28

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Logo of Danaher Corporation

Danaher Corporation

Danaher Corporation is a leading global innovator in life sciences and diagnostics, committed to accelerating the power of science and technology to improve human health. The company operates in the biotechnology, diagnostics, and life sciences sectors, providing expertise, technologies, and services that advance healthcare and medicine by enabling the development and commercialization of innovative, targeted, and personalized therapies. Danaher is dedicated to delivering precise and rapid diagnostic tools and supporting critical activities in life sciences. Its approach involves the Danaher Business System, which guides its culture and performance, emphasizing continuous improvement and innovation.

Life Sciences β€’ Diagnostics β€’ Biotechnology

10,000+ employees

Founded 1967

🧬 Biotechnology

πŸ“‹ Description

β€’ Spearhead development, embedding, automation and operation of scalable AI Applications. β€’ Drive best practices in code quality, documentation and software development lifecycle. β€’ Ensure technical quality and reliability of AI solutions through rigorous testing, validation, and implementing frameworks for scalable data ingestion. β€’ Optimize AI Application performance and efficiency through feature engineering. β€’ Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.

🎯 Requirements

β€’ BSc or MSc in a field related to Software Development (or equivalent, proven experience). β€’ Multiple years of industry experience. β€’ Proficient in Python, software development and application of AI models. β€’ Highly-skilled in realizing the full potential of LLM-based AI frameworks (e.g. OpenAI). β€’ Experience with GitLab, PyCharm, SQL, MLflow, Airflow, AWS, data structures, data platforms and data integration. β€’ It would be a plus if you also possess previous experience in: β€’ Commercial awareness and understanding of Sales and Marketing strategies. β€’ Excellent communication and collaboration abilities, strong analytical and problem-solving skills. β€’ Familiarity with CDPs, MDM and data and software security concepts.

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