




Job Summary: Develop Python applications, defining architecture, working with frameworks, and integrating scalable and secure solutions, applying AI/ML at scale in agile and DevOps environments. Key Highlights: 1. Advanced experience in Python and other relevant programming languages 2. Hands-on experience with cloud platforms (AWS, GCP, Azure, Copilot, OCI) 3. Focus on AI, LLMs, and real-time data pipelines Description: Requirements: * Advanced proficiency in Python and at least one other relevant programming language (e.g., Java, R). * Experience with cloud platforms (AWS, GCP, Azure, Copilot, OCI). * Ability to translate complex technical concepts into business insights, facilitating strategic decision-making. * Experience evaluating, selecting, and integrating emerging AI technologies, with emphasis on experimentation and measurable outcomes. * Familiarity with governance, security, compliance, and ethical considerations in AI solution deployment. * Experience with large-scale AI/ML systems, including LLMs, SLMs, AI agents, and real-time data pipelines. Academic Qualifications: * Completed or ongoing undergraduate degree in IT-related fields Responsibilities: * Develop applications using Python, from architecture definition through delivery and maintenance of solutions. * Demonstrate advanced technical expertise in Python, its major frameworks (Django, Flask, FastAPI), and associated tools for automation, APIs, microservices, and integration with relational and non-relational databases. * Exhibit analytical capability and systemic vision to understand complex requirements and propose scalable, secure, and high-performance solutions. * Work in agile environments (Scrum, Kanban), applying DevOps practices, continuous integration and delivery (CI/CD), and version control with Git. Adhere to development best practices, including automated testing, code review, documentation, and clean code standards. * 2512150202201866279


