- Design, develop, and deploy machine learning models using various supervised and unsupervised learning algorithms.
- Collaborate with cross-functional teams to identify business problems and propose data-driven solutions.
- Develop and maintain large-scale data pipelines and architectures to support machine learning model deployment.
- Conduct research on new machine learning algorithms and techniques to stay updated with industry trends.
- Work closely with data engineers to ensure seamless integration of machine learning models into larger data systems.
- Participate in code reviews and contribute to the improvement of the overall code quality.
Job Requirements
- Strong foundation in computer science, mathematics, and statistics.
- Proficiency in programming languages such as Python, C++, or Java.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of deep learning concepts, including CNNs, RNNs, and transformers.
- Excellent problem-solving skills and ability to analyze complex data sets.
- Strong communication skills and ability to collaborate effectively with technical and non-technical stakeholders.
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