
Data Driven Model Developer
1 week ago
We are seeking a talented Machine Learning Engineer to join our team. In this role, you will be responsible for developing and deploying machine learning models that drive business growth.
About the Role:The ideal candidate will have a strong background in computer science and experience with machine learning algorithms and techniques. You will work closely with cross-functional teams to design, develop, and deploy machine learning models that meet business requirements.
- Responsibilities:
- Collect, clean, and preprocess large datasets for model training and validation.
- Design and implement machine learning models (regression, classification, NLP, deep learning, etc.).
- Perform feature engineering and hyperparameter tuning.
- Collaborate with data engineers to integrate models into applications and APIs.
- Ensure model accuracy, explainability, and performance through testing and validation.
- Document models, methodologies, and outcomes for technical and business stakeholders.
- Bachelor's/Master's degree in Computer Science, Data Science, or related field.
- 4-8 years of experience in ML model development.
- Strong Python skills with libraries such as scikit-learn, TensorFlow, PyTorch.
- Hands-on experience with SQL, data wrangling, and feature engineering.
- Experience deploying ML models via APIs or cloud platforms (AWS, GCP, Azure).
- Good understanding of statistics and model evaluation techniques.
In addition to a competitive salary, we offer a comprehensive benefits package, including health insurance, retirement savings plan, and generous paid time off.
Others:We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about machine learning and eager to contribute to a dynamic team, please submit your application today.
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