AI Software Engineer
Tasks
- Build and deploy AI/ML models
- Detect data drift
- Develop MLOps pipelines
- Document AI ML best practices
- Evaluate models using real world testing
- Implement observability dashboards
- Implement real-time inference services
- Integrate structured unstructured and real time data sources
- Mentor AI/ML engineers
- Monitor model performance and uptime
- Process and transform data for model training
- Train and fine-tune ML models
Perks/Benefits
Skills/Tech-stack
AWS Kinesis | Apache Airflow | Apache Kafka | C# | C++ | CUDA | DBT | Deep Neural Networks | Grafana | Hugging Face | Jupyter Notebook | Kibana | Langchain | Language Models | Large Language Models | Machine Learning | Neural Networks | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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