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Python Developer
4 months ago
Key Responsibilities :
Developing ML/AI Models : Design, implement, and deploy machine learning algorithms and models using Python libraries such as TensorFlow, PyTorch, or scikit-learn.
Data Preprocessing and Analysis : Clean, preprocess, and analyze large datasets to derive actionable insights for model development.
Building APIs and Integrations : Develop RESTful APIs and integrations for deploying ML models into production environments.
Performance Optimization : Optimize algorithms and models for scalability, speed, and accuracy.
Collaboration : Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver ML/AI solutions.
Model Testing and Validation : Conduct rigorous testing and validation of ML models to ensure robustness and reliability.
Documentation : Document code, processes, and experiments to facilitate knowledge sharing and collaboration.
Continuous Learning : Stay updated with the latest advancements in ML/AI technologies and frameworks.
Required Skills and Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- Proven experience (minimum 3 years) as a Python Developer with expertise in building and deploying ML/AI solutions.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., Tensor Flow, PyTorch, pandas, NumPy).
- Solid understanding of machine learning algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Proficiency in deploying ML models in cloud environments (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills and ability to think critically.
- Strong communication skills and ability to collaborate effectively within a team.
- Experience with version control systems (e.g., Git) and agile development practices.