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Key Responsibilities
- Design, develop, and optimize machine learning models and algorithms
- Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow
- Analyze large, complex datasets to extract insights and identify patterns
- Develop scalable machine learning pipelines for training, validation, and deployment
- Collaborate with cross-functional teams to integrate ML models into production systems
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies
- Document processes and model performance to ensure reproducibility and compliance. Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- 3+ years of experience in machine learning, deep learning, or AI tool development
- Proficiency in Python and experience with frameworks such as PyTorch and Tensorflow
- Solid understanding of statistical modeling, probability, and optimization techniques
- Experience with data preprocessing, feature engineering, and handling large datasets
- Strong problem-solving skills and attention to detail
- Excellent communication and teamwork abilities
- Ability to work in a fast-paced, dynamic environment and manage multiple priorities
Key Skills
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