Lead AI Engineer
Tasks
- Build and deploy scalable AI products
- Collaborate with stakeholders to gather requirements
- Conduct research to inform future AI initiatives
- Design AI ML and agentic systems
- Design data pipelines and architectures
- Drive ML AI industrialization on cloud platforms
- Drive experimentation and continuous improvement
- Ensure reliability scalability and performance in production
- Guide model development evaluation and optimization
- Implement data quality validation and drift detection
- Integrate AI solutions into systems and workflows
- Lead data ingestion preprocessing and transformation
- Maintain AI system documentation
- Mentor team members and support skill development
- Oversee production deployments
Perks/Benefits
- Company car
- Employer supported pension plan
- Extra paid holidays
- Flexible benefits
- Home-office allowance
- Hybrid work model
- Life, accident, and disability insurance
- Medical care
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Systems | Agile | Azure | B testing | Computer Vision | Continuous Improvement | CrewAI | Data Ingestion | Data Pipelines | Data Preprocessing | Data Quality | Data Transformation | Data Validation | Experimentation | Google Cloud | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Optimization | NLP | Natural Language | Natural Language Processing | PyTorch | Python | SageMaker | Scikit-learn | TensorFlow
Education
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