<p><p><b>Description : </b><br/><br/></p><p>We are looking for a highly skilled Python Developer with a strong background in Artificial Intelligence and Machine Learning to join our technology team.
The ideal candidate will be responsible for designing, developing, and implementing advanced AI/ML models and integrating them into enterprise-level solutions to support data-driven business decisions.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Design, develop, and deploy scalable AI/ML solutions using Python and modern frameworks.<br/><br/></p><p>- Collaborate with cross-functional teams to translate business requirements into technical solutions.<br/><br/></p><p>- Build predictive and analytical models for classification, forecasting, and recommendation use cases.<br/><br/></p><p>- Develop and optimize data pipelines for large-scale data processing and model training.<br/><br/></p><p>- Ensure high performance, reliability, and maintainability of AI models in production environments.<br/><br/></p><p>- Implement best practices for model validation, versioning, monitoring, and retraining.<br/><br/></p><p>- Stay updated with emerging technologies in AI/ML to recommend process and performance improvements.<br/><br/></p><p>- Work closely with data engineers, data scientists, and DevOps teams to ensure seamless model deployment.<br/><br/><b>Required Qualifications & Skills : </b><br/><br/></p><p>- Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related discipline.<br/><br/></p><p>- 5-6 years of professional experience in Python development, with at least 3 years focused on AI/ML.<br/><br/></p><p>- Proficiency in Python libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.<br/><br/></p><p>- Strong knowledge of machine learning algorithms, deep learning, and statistical modeling.<br/><br/></p><p>- Hands-on experience with API development and model integration into enterprise applications.<br/><br/></p><p>- Experience working on cloud platforms such as AWS, Azure, or Google Cloud for model deployment.<br/><br/></p><p>- Familiarity with version control (Git), CI/CD, and containerization tools (Docker, Kubernetes).<br/><br/></p><p>- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.<br/><br/></p><p>- Excellent analytical, problem-solving, and communication skills.</p><br/></p> (ref:hirist.tech)