AI/ML Engineer
Tasks
- Analyze multi format data
- Build and optimize analytics solutions
- Create standard operating procedures and accelerators
- Deliver analytics solution presentations
- Develop CI/CD pipelines and deployment processes
- Develop data-driven insights
- Monitor and evaluate machine learning models
- Serve as subject matter expert for pre sales
- Train deploy machine learning models on Google Cloud
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Automl | BQML | BigQuery | CI/CD | Classification | Cloud Functions | Cloud Run | Cloud Storage | Clustering | Data Cleansing | Data Visualization | Data Warehousing | Deep learning | Docker | Document AI | EDA | ELT | ETL | Ensemble modeling | Feature Engineering | Generative AI | Git | Keras | Kubernetes | LLM | Langchain | MLOps | Model Evaluation | Model versioning | Monitoring | Prompt engineering | Pub/Sub | PyTorch | Python | RAG | Recommendation Systems | Regression | Reinforcement Learning | Responsible AI | Retrieval-Augmented Generation | SQL | Scikit-learn | Shell Scripting | TensorFlow | Time Series | Vertex AI
Education
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | ML Engineer | Scientist
Regions
Countries
States
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