AI Engineer
USD 40K-100K (estimate) Mid-level Full Time
Tasks
- Build and maintain scalable machine learning pipelines
- Collaborate with Data Scientists Product Managers and Engineers
- Design develop deploy machine learning models for business problems
- Develop and deploy autonomous AI agents
- Document and apply responsible and ethical ai best practices
- Ensure mlops practices with ci cd monitoring and versioning
- Implement and optimize generative AI solutions
- Integrate vector databases and retrieval for generative systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agentic Workflows | Autonomous Agents | CI/CD | Cloud deployment | Cloud platform | Deep learning | Fine Tuning | GCP Vertex | GCP Vertex AI | Generative AI | Google Cloud | Google Cloud Platform | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | NLP | PGVector | Prompt engineering | PyTorch | Python | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Retrieval | Snowflake | Snowflake Cortex | TensorFlow | Transformers | Vector Search | Vertex AI
Education
Roles
AI | AI Engineer | Engineer
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