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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

 

Senior AI Engineer 

 

For Digital Hub Warsaw, we are looking for:

 


Senior AI Engineer

A Senior AI Engineer leads the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have extensive experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value.

 

 

Your Tasks & Responsibilities:

AI Solution Development

  • Lead the design and development of innovative machine learning models and algorithms in crossfunctional teams to effectively address specific business challenges
  • Lead the implementation of scalable AI products, ensuring alignment with user requirements and strategic business objectives
  • Leverage state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to optimize the industrialization of machine learning models and AI solutions for production deployment
  • Provide expert operational support and guidance for machine learning models and algorithms, ensuring their reliability and performance in production environments

 

Data Engineering

  • Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers, and data scientists, enhancing data access and processing capabilities
  • Lead data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud), ensuring adherence to best practices and organizational standards
  • Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity

Data Science

  • Mentor and guide team members in the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements
  • Lead the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities

 

Integration and Deployment

  • Lead the integration of AI models into existing software systems and workflows, ensuring seamless functionality and optimal user experience.

 

Qualifications & Competencies (education, skills, experience):

  • Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 5 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       

 

What do We offer:

 

  • A flexible, hybrid work model
  • Great workplace in a new modern office in Warsaw
  • Career development, 360° Feedback & Mentoring program
  • Wide access to professional development tools, training, & conferences
  • Company Bonus & Reward Structure
  • VIP Medical Care Package (including Dental & Mental health)
  • Holiday allowance (“Wczasy pod gruszą”)
  • Life & Travel Insurance
  • Pension plan
  • Co-financed sport card - FitProfit
  • Meals Subsidy in Office
  • Additional days off
  • Budget for Home Office Setup & Maintenance
  • Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
  • Tailored-made support in relocation to Warsaw when needed
  • Please send your CV in English

 

You feel you do not meet all the criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection

 

WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158

   
YOUR APPLICATION  
   

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.

 
   
   
Location: Poland : Mazowieckie : Warszawa     
Division: CH   
Reference Code: 849839     

 

 

Location:

Poland : Mazowieckie : Warszawa  

 

Division:

CH

 

Reference Code:

849839 


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