Job
Description
Role & responsibilities : Design, develop, and maintain scalable Python-based applications and systems. Collaborate with cross-functional teams. Architect and deploy applications across cloud environments like AWS, Azure, or GCP, ensuring high availability and security. Apply best practices of SDLC in Agile/DevOps environments and participate in code reviews, sprint planning, and CI/CD integration. Implement and manage basic DevOps workflows, including build automation, test pipelines, and deployment using tools like Jenkins, Git, or Docker. Stay abreast of the latest trends in ML/LLM and actively contribute to the integration of intelligent capabilities into products. Write high-quality, maintainable code with clear documentation and unit testing. Troubleshoot, debug, and optimize existing codebase and infrastructure. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline. 5+ years of software development experience with strong proficiency in Python. Familiarity with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP). Hands-on experience or strong conceptual understanding of LLMs (e.g., Anthropic, OpenAI, Claude, Cohere) and Machine Learning libraries such as scikit-learn, TensorFlow, PyTorch, Transformers (Hugging Face). Solid grasp of SDLC and Agile/Scrum methodologies. Exposure to basic DevOps tools and practices, including Jenkins, Git, Docker, and CI/CD workflows. Strong problem-solving and communication skills with the ability to translate technical requirements into actionable solutions.
