AI / ML Engineer
Tasks
- Build data ingestion model training evaluation deployment workflows
- Build optimize end to end machine learning pipelines
- Collaborate with data engineers, software developers, and stakeholders
- Deploy and monitor machine learning models on cloud platforms
- Design develop train deploy machine learning models
- Develop generative AI and LLM powered applications
- Ensure scalability reliability and security for ML systems
- Implement MLOps model versioning monitoring CI CD automation
- Optimize model performance with feature engineering and hyperparameter tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agile | Azure Machine Learning | Azure OpenAI | BigQuery ML | CI/CD | Databricks | Dataflow | Deep learning | Docker | Embeddings | Feature Engineering | GCP Vertex | GCP Vertex AI | Hugging Face | Hyperparameter Tuning | Kubernetes | Langchain | MLOps | Machine Learning | Model Monitoring | Prompt engineering | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Databases | Vertex AI
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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