Senior AI Engineer — Hybrid ML Systems & Products Lead

Bayer

Warszawa

Presencial

PLN 206 000 - 246 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Medical care

Flexible benefits

Life insurance

Pension plan

Home office allowance

Company car

Extra holidays

Resumo da oferta

Enfint ищет эксперта по искусственному интеллекту и машинному обучению для разработки и внедрения систем с агентными элементами, адаптированных под бизнес-задачи. Вы будете руководить дизайном, развертыванием и мониторингом AI-решений в гибридной среде, включая обработку данных, валидацию качества и эволюцию моделей.

Требуется сильный опыт в Python, ML-фреймворках и облачных платформах; приветствуется знание LangChain/crew.ai и IaC.

Qualificações

MSc/PhD in a relevant field or equivalent practical experience.
Experience as an AI/ML Engineer with proven delivery of AI systems.
Strong Python skills.
Knowledge of agentic frameworks such as LangChain and crew.ai.
Experience with Infrastructure as Code, such as Terraform or CloudFormation.
Experience with ML frameworks including TensorFlow, PyTorch, and Scikit-learn.
Exposure to NLP, computer vision, and broader AI techniques.
Experience with cloud platforms and ML services such as SageMaker.
Strong analytical, problem-solving, and communication skills.
Experience in Agile environments.
Nice to have: AI/ML/cloud certifications such as AWS ML or Azure AI Engineer.

Responsabilidades

Lead the design and delivery of AI/ML and agentic systems for complex business problems.
Build and deploy scalable AI products aligned with business goals.
Drive adoption of AWS, Azure, and GCP for ML/AI industrialization.
Ensure reliability, scalability, and performance of production AI systems.
Design and oversee scalable data pipelines and architectures.
Lead data ingestion, preprocessing, and transformation across hybrid environments.
Implement data quality, validation, and drift detection processes.
Guide model development, evaluation, and optimization.
Drive experimentation and continuous improvement of model performance.
Integrate AI solutions into existing systems and workflows.
Oversee production deployments and operational excellence.
Maintain clear documentation of AI systems and processes.
Collaborate with stakeholders to gather requirements and deliver solutions.
Communicate complex technical concepts to technical and business audiences.
Mentor team members and support skill development.
Stay up to date with AI trends and drive innovation.
Conduct research to inform future AI initiatives.