Python Developer

Proficiency in Python programming language, with a strong grasp of Python libraries and frameworks such as Django, Flask, or FastAPI.

Experience in designing, developing, and maintaining backend systems and APIs using Python, ensuring high performance, scalability, and reliability.

In-depth knowledge of cloud computing platforms like AWS, Azure, or Google Cloud, with hands-on experience in deploying, managing, and optimizing cloud-based applications and services.

Proficiency in containerization technologies like Docker and container orchestration tools such as Kubernetes for efficient deployment and scaling of applications.

Strong understanding of databases, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis), and the ability to design and optimize database schemas.

Familiarity with DevOps practices, CI/CD pipelines, and automation tools (e.g., Jenkins, GitLab CI, Terraform) to streamline development and deployment processes.

Excellent problem-solving skills, a proactive attitude, and the ability to collaborate effectively with cross-functional teams to deliver robust and scalable backend solutions.

Collaborate closely with the ML team to integrate machine learning models and algorithms into backend systems, enabling the development of data-driven applications and services.

Experience with deploying and managing ML workloads and frameworks (e.g., TensorFlow, PyTorch) on cloud platforms, and the ability to optimize infrastructure to support machine learning workflows and training processes.