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Job Summary:
We are seeking an experienced and highly skilled Senior Python Full Stack Developer to lead the design development and deployment of cuttingedge AIdriven solutions. This role focuses on creating advanced AI applications including Generative AI systems like chatbots data retrieval platforms and analytics tools. The ideal candidate will bring expertise in Python development a robust understanding of AI/ML technologies and the ability to seamlessly integrate onpremises infrastructure with Azure/AWS AI cloud services.
Key Responsibilities:
Collaborate with crossfunctional teams to conceptualize design and implement AIpowered solutions.
Develop and maintain endtoend software applications using Python and other modern frameworks.
Design and implement scalable APIs and backend services for Generative AI applications such as chatbots and data analytics platforms.
Build responsive and intuitive frontend interfaces using modern JavaScript frameworks (React Angular or Vue.js).
Develop and integrate machine learning models into applications ensuring performance and scalability.
Leverage cloud platforms (Azure AWS) to deploy AI models ensuring secure and efficient integration with onpremises systems.
Drive the adoption of DevOps practices including CI/CD pipelines containerization (Docker) and orchestration (Kubernetes).
Ensure code quality and maintainability through unit testing code reviews and adherence to best practices.
Troubleshoot and resolve complex technical challenges in realtime AI applications.
Stay updated on emerging AI/ML and fullstack development trends to incorporate innovative solutions.
Qualifications:
Education: Bachelors or masters degree in computer science Software Engineering or a related field.
Experience: Minimum 6 8 years of professional experience in fullstack development with a focus on Python and AI/ML technologies.
Strong expertise in Python frameworks (Django Flask FastAPI) and frontend frameworks (React Angular Vue.js).
Handson experience with machine learning frameworks and libraries such as TensorFlow PyTorch Scikitlearn or Hugging Face.
Proficiency in developing and deploying AI/ML models in cloud environments like Azure AI AWS SageMaker or Google AI Platform.
Deep understanding of integrating onpremises systems with cloudbased AI solutions.
Experience with relational and NoSQL databases (PostgreSQL MySQL MongoDB).
Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
Knowledge of CI/CD pipelines and infrastructure as code tools (Jenkins Terraform or Ansible).
Strong problemsolving skills and the ability to work in fastpaced dynamic environments.
Preferred Skills:
Experience with Natural Language Processing (NLP) and Generative AI models like GPT BERT or similar.
Knowledge of big data tools like Apache Spark or Hadoop.
Familiarity with microservices architecture.
Certifications in cloud platforms (Azure AWS) or AI/ML tools.
Full Time