
Expert Data Modeler
7 days ago
Our company is seeking an experienced and skilled Senior Data Scientist to join our team. The ideal candidate will be responsible for developing and optimizing machine learning models for classification, regression, clustering, and recommendation systems.
Key Responsibilities:
- Develop and 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.
- Write clean, maintainable, and well-documented code following best practices.
- Perform model evaluation, A/B testing, and error analysis to improve performance.
- Work with stakeholders to understand business requirements and translate them into AI solutions.
Required Skills and Qualifications:
- Minimum 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).
- Understanding of NLP, computer vision, or reinforcement learning is a plus.
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