Machine Learning Engineer
7 days ago
About the Role
We're looking for a Machine Learning Engineer to design, build, and deploy scalable ML solutions that power data-driven products. You'll collaborate with cross-functional teams to turn business challenges into production-ready models and ensure high performance and reliability across systems.
Responsibilities
- Develop and optimize machine learning models and end-to-end pipelines.
- Deploy, monitor, and maintain models in production environments.
- Perform data preprocessing, feature engineering, and model evaluation.
- Automate workflows for experimentation, retraining, and performance tracking.
- Research and apply emerging ML techniques to enhance solution performance.
- Collaborate with data engineers, analysts, and software teams on scalable ML systems.
Requirements
- 5+ years of professional experience in Machine Learning or related roles.
- Proficient in Python and frameworks such as TensorFlow , PyTorch , or Scikit-learn .
- Experience with data engineering tools and ETL pipelines .
- Strong background in cloud platforms (AWS, Azure, or GCP) for ML model deployment.
- Familiarity with Docker , Kubernetes , and MLOps practices.
- Knowledge of NLP , computer vision , or recommendation systems is a plus.
- Excellent problem-solving and communication skills.
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