Machine Learning Engineer
Tasks
- Build data pipelines
- Build large-scale ML systems
- Collaborate with product and strategy partners
- Deploy ML models to solve business problems
- Design machine learning models
- Ensure scalability and reliability of ML systems
- Experiment and iterate on ML models
- Incorporate latest ML and AI developments
- Integrate ML models into production systems
- Orchestrate large scale datasets
- Propose and implement new product features
- Speed model deployment from idea to production
- Train and evaluate models offline and online
Perks/Benefits
Skills/Tech-stack
Apache Spark | Data pipeline | Data pipeline orchestration | Deep learning | Large-scale | Large-scale Datasets | Machine Learning | Machine Learning Pipelines | Machine learning deployment | Model Evaluation | Model Training | Pipeline Orchestration | Production Machine Learning | PyTorch | Reinforcement Learning | TensorFlow | Transformer | XGBoost
Education
Regions
Countries
States
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