Lead, AI Engineer
Tasks
- Build and maintain scalable AI infrastructure using cloud services and MLOps
- Collaborate with cross functional teams to define AI features and services
- Deploy and manage containerized AI services
- Design and develop production AI and machine learning models
- Improve model performance with retraining and pipeline optimization
- Lead model lifecycle management from prototyping to deployment and monitoring
- Mentor junior AI/ML engineers
- Perform feature engineering and exploratory data analysis
Perks/Benefits
- Benefits
- Bonus eligibility
- Competitive pay
- Equity
- Hybrid work environment
- In-office and remote flexibility
Skills/Tech-stack
AI Assistants | API Integration | AWS | AWS Bedrock | AWS CDK | AWS ECS | Agent systems | Amazon CloudWatch | Azure | CI/CD | Cloud infrastructure | Computer Vision | Data Analysis | Data Wrangling | Deep learning | Docker | Exploratory Data Analysis | Feature Engineering | Fine Tuning | Forecasting | GCP | Instruction Tuning | Language Models | Language Processing | Large Language Models | LoRA | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Orchestration frameworks | Prompt engineering | Python | QLoRA | Qdrant | React | Recommendation Systems | Retrieval-Augmented Generation | Terraform | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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