Python Developer IQKH01

Job Description Develop, test, and deploy high-quality Python-based applications and services. Lead and coordinate a small engineering team: assign tasks, conduct code reviews, provide technical guidance, and ensure timely delivery. Mentor junior and mid-level engineers, fostering best practices in design, coding, testing, and deployment. Drive end-to-end ML/LLM project lifecycles from development through production deployment. Build and maintain scalable ML/GenAI pipelines and APIs. Integrate and operationalize MLOps/GenAIOps tooling (e.g., MLflow, Kubeflow, KServe, SageMaker). Design and implement GenAI features such as prompt engineering, RAG pipelines, fine-tuning, and agentic workflows (e.g., using LangChain/AutoGen). Work with large-scale data processing technologies (PySpark, Kafka, Delta Lake, Hadoop, etc.). Create and manage CI/CD pipelines for model and application deployment in cloud or distributed environments. Collaborate cross-functionally to align technical delivery with product/business goals. Must-Have Skills: Expert-level Python programming, with solid foundations in software design and data structures. Proven experience deploying ML/LLM models into production. Hands-on with MLOps/GenAIOps stacks (MLflow, Kubeflow, SageMaker, etc.). Familiarity with agentic AI frameworks (LangChain, AutoGen, LangGraph, CrewAI) and their real-world application. Experience with big data ecosystems (e.g., PySpark, Kafka, HDFS, Delta Lake). Comfortable owning both development and deployment in cloud/distributed systems (AWS/GCP/Azure, Docker, Kubernetes). Prior experience leading or mentoring engineering teams.