Python Developer ( 3 - 10 Years)

Looking for Python Developer

Mode - Work from Office

Shift Timing 2.00PM to 11.00PM

Roles and Responsibilities

• Develop machine learning models to solve specific business problems.
• Collaborate with data scientists to fine-tune algorithms and improve accuracy.
• Deploy ML models into production environments using frameworks like Django.
• Write clean, maintainable code in Python, focusing on AI and ML development.
• Work with large datasets to train machine learning models.
• Implement APIs in Django for serving predictions made by ML models.
• Analyse and interpret complex data to derive insights and support decision-making.
• Design and implement machine learning models to analyse trends and patterns.
• Use Django to build data-driven applications that visualize results.
• Develop and maintain AI models and systems that help automate tasks.
• Work on natural language processing, computer vision, or other AI subfields.
• Use Django to create user interfaces for AI model interactions.
• Build end-to-end applications, integrating front-end and back-end technologies.
• Implement machine learning and AI features in web applications built with Django.
• Ensure that applications are scalable and maintainable.
• Manage the deployment and scaling of machine learning models in production.
• Use containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) for AI solutions.
• Monitor and optimize resource usage for machine learning applications built with Django.
• Use Django to create RESTful APIs for accessing ML model predictions and integrating with other systems.
• Implement testing strategies to ensure the quality and performance of algorithms and applications.
• Collaborate with data scientists to fine-tune algorithms and improve accuracy.
• Write clean, maintainable code in Python, focusing on AI and ML development.
• Proficiency in Python, as well as familiarity with frameworks like Django for web development.
• Understanding of machine learning concepts, algorithms, and best practices.
• Experience with data libraries such as Pandas, NumPy, and visualization tools like Matplotlib or Seaborn.
• Familiarity with Git for version control.
• Knowledge of deployment techniques and cloud platforms (e.g., AWS, Google Cloud) for hosting applications.
• Strong communication skills to help convey technical details to non-technical stakeholders of Form