
Data Science Leader
2 days ago
We are looking for a highly skilled Senior Data Scientist to join our team. As a Senior Data Scientist, you will play a key role in developing and optimizing machine learning models for classification, regression, clustering, and recommendation systems.
You will 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.
Key Responsibilities:
- Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems.
- Implement deep learning architectures using 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.
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).
- Understanding of NLP, computer vision, or reinforcement learning is a plus.
About the Ideal Candidate:
- We are looking for a collaborative and innovative Senior Data Scientist who can work effectively with our team to develop cutting-edge AI solutions.
- The ideal candidate should have a strong understanding of semantic markup and web accessibility standards.
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