Key skills
AWSAzureCloudDockerPythonPyTorchScikit-LearnTensorflowAIMLGenerative AIGenAIOpenAITensorFlowscikit-learnProject Management
About this role
Role Overview
- Design and develop AI-powered systems using both traditional ML and generative AI techniques
- Build intelligent applications and agents that can perform tasks autonomously or interactively
- Create modular, well-documented APIs and service components to enable model integration and consumption
- Develop and manage data pipelines, including data collection, transformation, and quality assurance
- Implement observability and evaluation mechanisms to monitor AI system behavior
- Collaborate with software engineers, data scientists, and solution architects
- Support rapid experimentation as well as robust deployment pipelines
- Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks
- Support project management tasks
Requirements
- 3+ years of hands-on experience in AI/ML development or intelligent application engineering
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
- Experience in Python
- Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)
- Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Wellness programs
- 401(k) plan with generous employer match
- Employee stock purchase plan
- Paid Time Off policy
- Paid parental leave
- Adoption assistance