
Data Modeling Specialist
3 days ago
The position of Machine Learning Engineer is pivotal in the development and implementation of machine learning models that drive business outcomes.
We are seeking a skilled professional to join our team in this crucial role.
Key Responsibilities:
- The ideal candidate will collect, clean, and preprocess large datasets for model training and validation.
- The successful candidate will design and implement machine learning models (regression, classification, NLP, deep learning, etc.) using Python libraries such as scikit-learn, TensorFlow, PyTorch.
- Feature engineering and hyperparameter tuning are also essential skills for this role.
- Collaboration with data engineers to integrate models into applications and APIs is a must.
- Ensuring model accuracy, explainability, and performance through testing and validation is critical.
- Documenting models, methodologies, and outcomes for technical and business stakeholders is an important aspect of this role.
Required Skills & Qualifications:
- A Bachelor's or Master's degree in Computer Science, Data Science, or related field is required.
- The ideal candidate will have 4-8 years of experience in ML model development.
- Strong Python skills are necessary, along with hands-on experience with SQL, data wrangling, and feature engineering.
- Experience deploying ML models via APIs or cloud platforms (AWS, GCP, Azure) is also required.
- A good understanding of statistics and model evaluation techniques is essential.
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