
Chief Data Modeller
2 days ago
This is a Data Science leadership role that involves developing and optimizing machine learning models for classification, regression, clustering, and recommendation systems.
Key Responsibilities:
- Implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Preprocess and analyze large datasets to extract meaningful insights.
- Fine-tune models for performance, accuracy, and efficiency.
- Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices.
- Collaborate with data engineers to build robust data pipelines.
- Conduct research on emerging AI/ML technologies and apply them to real-world problems.
Requirements:
- 2-4 years of experience in AI/ML development.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras.
- Strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling.
- Experience with data preprocessing, feature engineering, and model optimization.
- Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
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