Python ai engineer
GeekSoft Consulting
Amsterdam, Netherlands
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Amsterdam, Netherlands
Tech stack
API
Artificial Intelligence
Data analysis
Azure
Continuous Integration
Data Cleansing
Python
Machine Learning
Performance Tuning
Management of Software Versions
Feature Engineering
Chatbots
Deep Learning
Generative AI
FastAPI
Deployment Automation
Machine Learning Operations
Data Pipelines
Microservices
Job description
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
Requirements
- Strong experience as an AI Engineer with expertise in Python, Machine Learning, Deep Learning, and Generative AI.
- Experience designing, developing, deploying, and optimizing scalable AI/ML and GenAI solutions for enterprise platforms.
- Hands-on experience building AI solutions for intelligent automation, incident prediction, root cause analysis, knowledge assistants, and chatbots.
- Experience developing clean, scalable, and reusable Python applications, APIs, and microservices.
- Strong expertise in data preprocessing, feature engineering, and developing data processing pipelines for large-scale
- enterprise datasets.
- Experience integrating AI/ML solutions with Azure DevOps, CI/CD pipelines, and MLOps frameworks for automated model build, testing, deployment, versioning, and lifecycle management.
- Hands-on experience managing the end-to-end AI model lifecycle, including training, validation, deployment, monitoring, and performance optimization.
- Experience collaborating with platform engineering, data, analytics, business, and product teams to deliver enterprise AI solutions.
- Strong understanding of enterprise security, governance, audit, and regulatory compliance for AI deployments.