- Develop, test, and maintain software applications.
- Write clean, scalable, and efficient code using Python, Java, or C++.
- Debug, optimize, and document software.
- Work with version control (Git) and CI/CD pipelines.
- Stay updated with modern software development practices.
- Develop and deploy AI/ML models using TensorFlow, PyTorch.
- Optimize models for efficiency and performance.
- Work with NLP, Computer Vision, and AI-based automation.
- Deploy models using AWS SageMaker, Google Vertex AI, or Azure ML.
- Collaborate with teams to integrate AI solutions into applications.
- Develop and maintain web applications using front-end and back-end technologies.
- Work with React.js, Node.js, Angular, Vue.js, and database technologies.
- Design RESTful APIs and integrate third-party services.
- Deploy applications on AWS/GCP/Azure and manage cloud infrastructure.
- Ensure security, scalability, and performance optimization.
- Automate infrastructure deployment using Terraform, Ansible, or Kubernetes.
- Implement CI/CD pipelines for seamless software delivery.
- Monitor and optimize cloud-based applications.
- Manage containerized applications using Docker and Kubernetes.
- Ensure security, scalability, and availability of production systems.
- Develop and customize WordPress themes and plugins.
- Optimize website speed, security, and performance.
- Integrate third-party APIs, WooCommerce, and custom functionalities.
- Perform website maintenance, backups, and SEO optimization.
- Debug and troubleshoot WordPress-related issues.
- Deploy AI/ML models in cloud environments (AWS, GCP, Azure).
- Optimize cloud infrastructure for AI workloads.
- Implement MLOps for model lifecycle management.
- Manage cloud storage solutions for AI datasets.
- Ensure security, cost optimization, and performance tuning for cloud-based AI applications.
- Collect, preprocess, and analyze large datasets.
- Develop predictive models and perform statistical analysis.
- Create data visualizations using Tableau, Power BI, Matplotlib.
- Implement ML algorithms for classification, regression, and clustering.
- Work with ETL pipelines and big data tools.
- Develop and maintain Python-based applications.
- Work with frameworks like Django and Flask.
- Integrate third-party APIs and database solutions.
- Optimize code for performance and scalability.
- Collaborate with data engineers and DevOps teams.