We are looking for a skilled Python Developer with strong experience in AI and Machine Learning to design develop and deploy intelligent solutions. The ideal candidate should have hands-on experience in building ML models working with data and integrating AI-driven features into production systems.
Key Responsibilities
-Design develop and maintain Python-based applications with AI/ML capabilities-Build train test and deploy Machine Learning models-Work with structured and unstructured data for analysis and model development-Implement data preprocessing feature engineering and model evaluation-Integrate ML models with APIs backend services and databases-Optimize model performance and scalability-Collaborate with product managers and cross-functional teams to define requirements-Stay updated with the latest AI/ML trends tools and frameworksRequired Skills & Qualifications
-35 years of experience in Python development-Strong understanding of Machine Learning algorithms and concepts-Hands-on experience with AI/ML libraries such as TensorFlow PyTorch Scikit-learn Pandas NumPy-Experience in data analysis data visualization and model evaluation-Knowledge of REST APIs and backend integration-Familiarity with SQL/NoSQL databases-Understanding of version control systems (Git)-Good problem-solving and analytical skillsPreferred Skills
-Experience with Deep Learning and NLP/Computer Vision-Exposure to cloud platforms (AWS Azure or GCP)-Experience in deploying ML models (Docker CI/CD MLOps)
Required Skills:
35 years of experience in Python developmentStrong understanding of Machine Learning algorithms and concepts Hands-on experience with AI/ML libraries such as TensorFlow PyTorch Scikit-learn Pandas NumPy Experience in data analysis data visualization and model evaluation Knowledge of REST APIs and backend integration Familiarity with SQL/NoSQL databases Understanding of version control systems (Git) Good problem-solving and analytical skills Preferred Skills Experience with Deep Learning and NLP/Computer Vision Exposure to cloud platforms (AWS Azure or GCP) Experience in deploying ML models (Docker CI/CD MLOps)
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