Sr ML & AI Engineer
Tasks
- Build pipelines for data preprocessing feature engineering model training and evaluation
- Build scalable ML infrastructure and APIs
- Deploy ML models into production environments
- Design develop and optimize machine learning models
- Develop predictive and generative models using large datasets
- Implement MLOps practices for model monitoring retraining and versioning
- Implement supervised unsupervised and deep learning algorithms
- Optimize model performance, latency, and scalability
Perks/Benefits
Skills/Tech-stack
APIs | Amazon Web Services | Data Preprocessing | Deep learning | Distributed Computing | Docker | Feature Engineering | Kubernetes | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Model retraining | Model versioning | PyTorch | Python | SQL | Scikit-learn | Supervised Learning | TensorFlow | Terraform | Unsupervised Learning | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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