Lead and mentor two technical squads, providing guidance on best practices, code quality, and solution design.
Architect and develop robust backend systems using Python and frameworks like Flask, Django, and FastAPI.
Oversee the design and implementation of AI/ML models using TensorFlow, PyTorch, and Scikit-Learn, integrating them into scalable SaaS applications.
Design and manage microservices architectures with cloud integration on AWS, Azure, or Google Cloud, leveraging Docker and Kubernetes for containerization.
Conduct thorough code reviews with an emphasis on scalability, performance optimization, and adherence to coding standards.
Manage the entire software development lifecycle, from requirement gathering to deployment, ensuring the delivery of high-quality AI and SaaS products.
Collaborate with DevOps to implement CI/CD pipelines using Git, Jenkins, and GitHub Actions, enhancing development workflows and deployment processes.
Drive the adoption of best practices in data management, utilizing SQL, NoSQL, PostgreSQL, MongoDB, and Redis for efficient and reliable data storage solutions.
Communicate effectively with non-technical stakeholders to align technical solutions with business objectives, providing clear insights into project progress and technical decisions.
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