Lead, AI/ML Engineer
Tasks
- Build scalable AI infrastructure
- Deploy and monitor machine learning models
- Design production AI and machine learning models
- Develop AI-driven features and services
- Improve model performance
- Lead model lifecycle management
- Mentor junior AI engineers
- Perform feature engineering and data wrangling
- Stay current with AI research and developments
Perks/Benefits
Skills/Tech-stack
AI orchestration | AWS Bedrock | AWS CDK | AWS ECS | AWS RDS | Agent systems | Amazon CloudWatch | CI/CD | Computer Vision | Containerization | Data Analysis | Data Engineering | Deep learning | Efficient Fine Tuning | Exploratory Data Analysis | Feature Engineering | Fine Tuning | Infrastructure as Code | Instruction Tuning | LLM APIs | LLM Fine-tuning | Language Processing | LoRA | Machine Learning | MariaDB | Multi-Agent | Multi-Agent Systems | MySQL | Natural Language | Natural Language Processing | Parameter efficient fine-tuning | Prompt engineering | Python | QLoRA | Qdrant | RAG | React | React frontend | Retrieval-Augmented Generation | Terraform | Vector Databases | “as-code”
Education
Roles
AI | AI/ML Engineer | Engineer | Lead | Lead AI/ML Engineer | ML Engineer
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