Senior AI Engineer-1
Tasks
- Build and deploy scalable AI products
- Collaborate with stakeholders to gather requirements
- Conduct research to inform future AI initiatives
- Design and oversee scalable data pipelines and architectures
- Drive adoption of cloud technologies for ML AI industrialization
- 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 existing systems and workflows
- Lead data ingestion preprocessing and transformation
- Lead design and delivery of AI ML and agentic systems
- Maintain clear documentation of AI systems and processes
- Mentor team members and support skill development
- Oversee production deployments and operational excellence
- Stay up to date with AI trends and drive innovation
Perks/Benefits
- Company car provided
- Employer supported pension plan
- Extra paid holidays
- Flexible benefits
- Home-office allowance
- Hybrid work option
- Life, accident, and disability insurance
- Medical care
- Performance-based bonuses
Skills/Tech-stack
AWS | Agentic Systems | Agile | Amazon SageMaker | Azure | CV | Cloud platform | CloudFormation | Computer Vision | Data Drift | Data Drift Detection | Data Ingestion | Data Pipelines | Data Preprocessing | Data Validation | Drift Detection | Experimentation | Google Cloud | Google Cloud Platform | Infrastructure as Code | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Optimization | NLP | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Roles
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