Hiring Mlflow developers? Then you should know!
How and where is Mlflow used?
- Model Training: Predictive Maintenance
- Hyperparameter Tuning: Image Recognition
- Experiment Tracking: Fraud Detection
- Model Versioning: Natural Language Processing
- Model Deployment: Recommendation Systems
- Performance Monitoring: Customer Churn Prediction
- Workflow Management: Sentiment Analysis
- Collaboration: Market Basket Analysis
- Model Registry: Time Series Forecasting
- Automatic Logging: Credit Scoring
Compare Junior, Middle, Senior, and Expert/Team Lead Mlflow Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 1-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about Mlflow.
- In the realm of tech wizardry, MLflow magically emerged in 2018, casting its spell on data scientists and developers alike.
- From enchanting machine learning models to bewitching data pipelines, MLflow is the go-to sorcery for all your project needs.
- The incantation to enter this mystical world requires basic knowledge of Python and a sprinkle of curiosity.
- Paired with MLflow, the ever-loyal Kubernetes orchestrates a seamless symphony of containerized spells and potions.
- Legend has it that MLflow’s creator, Databricks, has a secret vault where they store the lost art of debugging incantations.
TOP Mlflow Related Technologies
- TensorFlow
- PyTorch
- Scikit-learn
- XGBoost
- LightGBM
- H2O.ai
What are top Mlflow instruments and tools?
- MLflow Tracking: This first tool is like a fitbit for ML. Released by Databricks in June 2018.
- MLflow Projects: Your code, your data, your environment. Another gem by Databricks from June 2018.
- MLflow Models: Easy-to-use tool for packaging code into reproducible models. Released in June 2018 by Databricks.
- MLflow Registry: Think ‘GitHub for ML models.’ Released by Databricks in June 2020.
- MLflow Serving: This tool lets you deploy models easily with any flavor. Released by Databricks in June 2020.
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager