AI Engineer @ Bayer

23 hours ago

Warszawa, Czech Republic Bayer Full time

Required:

  • Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 3 years experience.
  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Experience in developing and deploying machine learning models and AI systems.
  • Proficiency in programming languages such as Python or R
  • Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with natural language processing (NLP), computer vision, or other AI techniques.
  • Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud)
  • Strong analytical skills and the ability to work with complex datasets.
  • Excellent problem-solving skills with a focus on developing innovative AI solutions.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a cross-functional team environment.
  • Strong organizational skills and the ability to manage multiple AI projects simultaneously.
  • Experience with Agile methodologies and tools (Azure DevOps, Scrum).

​Preferred:

  • ​Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)

An AI Engineer is responsible for designing, developing, and implementing artificial intelligence solutions that address specific business problems. Individuals in this role work with machine learning models, natural language processing, computer vision, and other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver effective AI solutions.

,[AI Solution Development, Collaborate with cross-functional teams to design and develop innovative machine learning models and algorithms that address specific business challenges., Implement scalable AI products, ensuring they meet user requirements and business objectives., Utilize state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to industrialize machine learning models and AI solutions for deployment in production environments., Provide operational support and guidance for machine learning models and algorithms, ensuring their reliability and performance in production settings., Data Engineering, Partner with data engineers, cloud engineers, and data scientists to design and deliver robust, scalable data pipelines that facilitate data access and processing., Assist in data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud)., Implement and maintain data quality assurance processes, including validation checks and data drift detection mechanisms, to ensure data consistency and integrity., Data Science, Support the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements., Assist in the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities., Integration and Deployment, Aid in the integration of AI models into existing software systems and workflows, ensuring seamless functionality and user experience., Contribute to the deployment of AI solutions into production environments, following best practices for version control, architecture, monitoring, and maintenance., Documentation and Reporting, Maintain comprehensive documentation of AI models, algorithms, and processes to ensure transparency and facilitate knowledge sharing within the team., Prepare and present regular] Requirements: Python Additionally: Sport subscription, Private healthcare.

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