What The Role Offers: 

• Design, develop, and implement high-performance and scalable software applications. 

• Develop and integrate Machine Learning, Deep Learning, and AI models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). 

• Contribute to the architecture and design of intelligent systems, ensuring scalability, reliability, and maintainability. 

• Work closely with data scientists and other engineers to understand data requirements and integrate ML/DL models into production systems. 

• Write clean, well-documented, and testable code following best practices and coding standards. 

• Participate in code reviews to ensure code quality and knowledge sharing.    

• Troubleshoot and debug complex software issues across different layers of the application. 

• Optimize application performance and identify bottlenecks. 

• Stay up-to-date with the latest advancements in Python, ML, DL, and AI technologies. 

• Contribute to the continuous improvement of our development processes and tools. 

• Provide technical guidance and mentorship to junior engineers. 

• Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives. 

• Collaborate effectively with cross-functional teams, including product managers, designers, and QA engineers.    

What You Need To Succeed 

• Bachelor's or Master's degree in Computer Science or a related field. 

• Minimum of 5 years of professional software development experience. 

• Proven experience in developing and implementing Machine Learning, Deep Learning, and/or AI solutions using Python. 

• Hands-on experience with relevant Python libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas. 

• Understanding of various ML/DL algorithms and techniques (e.g., classification, regression, clustering, neural networks, natural language processing, computer vision). 

• Experience with data preprocessing, feature engineering, and model evaluation techniques. 

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML/AI services is a plus.    

• Strong understanding of software development lifecycle and agile methodologies. 

• Excellent problem-solving, analytical, and debugging skills.    

• Passion for learning and applying new technologies.