Key skills
AWSPythonPyTorchTensorflowAIMachine LearningMLOpenAIGeminiLangChainTensorFlowMLOpsMLflowBedrockRemote Work
About this role
Role Overview
- Develop and train AI models and deploy them to production
- Integrate these models/AI systems with other systems and platforms
- Diagnose and resolve complex AI technical issues
- Define technical standards for integrating and using AI in production
- Lead adoption of best practices for AI operations and monitoring (MLOps)
- Share knowledge with the team and at events
- Act as a technical point of reference in strategic AI discussions
Requirements
- Advanced Python programming (preferably version 3.8 or higher)
- Experience integrating AI-focused APIs (e.g., OpenAI API, BedRock, Gemini, LangChain)
- Hands-on experience with machine learning frameworks (PyTorch and TensorFlow)
- Experience with AWS applied to AI/ML projects
- Experience with MLOps tools (MLflow, DVC, Weights & Biases)
- Practical experience in observability and monitoring of AI models
- Ability to diagnose and resolve complex issues in distributed systems
Tech Stack
- AWS
- Python
- PyTorch
- Tensorflow
Benefits
- Remote work — freedom to work from anywhere
- Flexible working hours
- Education assistance
- In-house career development tool
- Internal guilds and study/interest groups
- Health insurance
- Dental plan
- Partnership for medication purchases
- 24/7 telemedicine
- Free online therapy
- Wellhub
- Extended maternity leave
- Extended paternity leave
- CAZ – Zuppers Support Center
- Meal and food vouchers
- Life insurance
- Commuting allowance
- Home office allowance
- Childcare assistance
- Phone plan allowance
- Profit sharing and performance-based compensation