Merck KGaA Darmstadt Germany - Rahway, NJ

posted 23 days ago

Full-time - Mid Level
Onsite - Rahway, NJ
Chemical Manufacturing

About the position

The Senior Specialist, AI Engineering role is focused on integrating AI models into production systems within a leading pharmaceutical company. This position aims to redefine the capabilities of Artificial Intelligence in the industry, ensuring seamless operations and impactful solutions. The ideal candidate will be a problem solver who can work collaboratively across teams to develop innovative AI-driven solutions that enhance pharmaceutical advancements globally.

Responsibilities

  • Write efficient and maintainable code following best practices in software engineering.
  • Work with DevSecOps tools for deploying and versioning code.
  • Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
  • Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
  • Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback.
  • Experiment with different retrieval strategies to augment generative AI models.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Work closely with cross-functional teams to understand requirements and deliver AI-driven solutions.
  • Present findings and insights to stakeholders and contribute to strategic decision-making.
  • Document AI models, algorithms, and processes thoroughly.
  • Prepare technical reports and presentations to communicate results and methodologies.
  • Stay up to date with the latest advancements in AI and machine learning technologies.
  • Participate in Agile ceremonies with the team to execute on prioritized projects and features.
  • Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

Requirements

  • Bachelor's in Engineering, Science, Mathematics or Information/Computer related field.
  • 5 years of experience in AI Engineering.
  • Strong programming skills in Python.
  • Experience in building scalable AI Solutions within a modern technology stack including cloud services, data pipelines, and databases.
  • Experience with CI/CD and test-driven development.
  • Experience in building Restful APIs for AI models.
  • Solid understanding of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
  • Familiar with Retrieval Augmented Generation (RAG) techniques.
  • Familiarity with prompt engineering techniques.

Nice-to-haves

  • Experience working in an Agile Methodology.
  • Additional programming languages such as Node.js / TypeScript, C#, or Java.
  • Demonstrated experience in developing and refining prompts for generative AI models.
  • Experience with AWS Cloud.
  • Experience with building, deploying, and managing docker images.

Benefits

  • Bonus eligibility
  • Long term incentive if applicable
  • Health care and other insurance benefits (for employee and family)
  • Retirement benefits
  • Paid holidays
  • Vacation
  • Sick days
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