
Mastering Data Science
1 week ago
As a Senior Data Scientist, you will play a crucial role in driving business growth through innovative data-driven solutions.
The ideal candidate will have a strong background in machine learning, deep learning, and statistical modeling, with 2-4 years of experience in AI/ML development.
Key Responsibilities:
- Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems.
- 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.
Requirements:
- 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.
- Ability to work both independently and collaboratively in a fast-paced, agile environment.
- You have an eye for detail, esp. around user experience and secure coding practices.
- A strong drive to learn and explore.
The Ideal Candidate:
- Is by nature highly team-oriented and collaborative.
- Has proper understanding of semantic markup and knows how to build interactive pieces that comply with web accessibility standards.
- Has personal projects or frontend related code contributions to open-source community and actively publishes on web development related development topics
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