AI Engineer

3w3 weeks ago

MSD

Prague, CZ · Full-time · €55,000 – €90,000

About this role

We are looking for an AI Engineer to support business areas including research and development, manufacturing, supply chain, commercial, and animal monitoring through data science and AI delivery. This role involves working on impactful AI products and collaborating with AI engineers and data scientists. The team builds a community that learns, challenges, and inspires each other.

You will write efficient and maintainable code following best practices, work with DevSecOps tools for deploying and versioning code, and select appropriate retrieval techniques, language models, and generative AI methodologies. Continuously iterate and refine retrieval augmented generation (RAG) methods based on experimentation, analysis, and feedback. Document AI models, algorithms, and processes thoroughly while preparing technical reports and presentations.

The team shapes the Data Science and AI strategy, serves as a DS and AI community facilitator, and helps non-technical colleagues mature their understanding of DS and AI. Participate in Agile ceremonies to execute prioritized projects and features. Implement automated testing and monitoring for AI system accuracy and reliability.

Join an exciting team with global projects in an international environment. Benefit from a hybrid working model and flexible role patterns, such as 80% full-time in justified cases. Opportunities to learn and grow professionally within the company globally.

Requirements

Bachelors or Masters in Artificial Intelligence, Machine Learning, or Computer Science is highly preferred, but qualifications in other quantitative disciplines are appreciated as well
2+ years of experience in AI Engineering
Strong communication and collaboration skills
Strong programming skills in Python
Analytical, detail-oriented, and able to balance multiple projects simultaneously
Familiarity with building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling
Familiarity with CI/CD and test-driven development
Familiarity with building Restful APIs for AI models

Responsibilities

Write efficient and maintainable code following best practices in software engineering
Work with DevSecOps tools for deploying and versioning code
Select appropriate retrieval techniques, language models, and generative AI methodologies
Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback
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

Benefits

Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral programme
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health)