Machine Learning Engineer
Tasks
- Build and manage MLOps infrastructure model versioning experiment tracking deployment pipelines
- Collaborate with engineering and product teams to deliver AI features
- Design data pipelines for ingestion transformation feature engineering
- Develop train evaluate iterate on machine learning models
- Document data schemas model architectures pipeline logic
- Fine-tune pre-trained LLMs for specific use cases
- Monitor model performance in production implement retraining and drift detection
- Work with structured and unstructured data at scale
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Redshift | Azure | BigQuery | DVC | Dask | Data Quality | Deployment | ETL | Embeddings | Feature Engineering | Fine Tuning | Flink | GCP | Hyperparameter Tuning | Kafka | LLMs | MLOps | MLflow | Machine Learning | Model Evaluation | Model Training | NumPy | Pandas | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Transformers | Vector Databases | Weights and Biases
Education
N/A
Regions
Countries
Argentina | Belize | Colombia | Dominica | Dominican Republic | Honduras | Mexico | Nicaragua | Panama | Paraguay
States
Buenos Aires F.D., AR | Belize District, BZ | Huila Department, CO | Bogota D.C., CO | Nacional, DO | Francisco Morazán Department, HN | Mexico City, MX | Managua Department, NI | Panamá, PA | San Pedro Department, PY | Asunción, PY
Cities
Mexico City, Mexico City, MX | Bogotá, Bogota D.C., CO | Buenos Aires, Buenos Aires F.D., AR | Santo Domingo, Nacional, DO | Asunción, Asunción, PY | Managua, Managua Department, NI | Tegucigalpa, Francisco Morazán Department, HN | Panamá, Panamá, PA | Belize City, Belize District, BZ | Lima, San Pedro Department, PY | Colombia, Huila Department, CO
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