AI Engineer
Tasks
- Design and implement artificial intelligence solutions in production
- Design build maintain and deploy AI infrastructure
- Develop and maintain code for quality best practices and performance
- Ensure compliance with data privacy and healthcare regulations
- Implement automation tools and processes for agent flows RPA and GenAI
- Integrate AI solutions with existing systems
- Manage models and monitor model performance
- Own MLOps and DevOps for scalability reliability security
- Train, test, and deploy machine learning models
Perks/Benefits
- Accidental insurance
- Life insurance
- Meal arrangements
- Medical insurance
- Professional development opportunities
- Transport arrangements
Skills/Tech-stack
Agentic AI | Agile | Apache Spark | Artificial Intelligence | Automation | Azure | Azure DevOps | Big Data | CI/CD | Databases | Databricks | DevOps | DevSecOps | Document Intelligence | GenAI | HIPAA | Huggingface | Jira | Kanban | MLOps | Machine Learning | Model Management | Model Monitoring | NLP | NoSQL | Open Source | PyTorch | Python | RPA | Scikit-learn | Scrum | TensorFlow | Terraform
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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