Senior Python Developer

1 day ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Senior Python Developer - AI/ML Engineering

We are seeking a highly skilled Python developer with a strong background in building intelligent, scalable systems. You will be responsible for full-stack development, AI model integration, and deploying high-performance applications using cloud platforms.

About the Role:
  • Key Responsibilities:
  • Design, develop, and maintain Python (Flask, Django) applications on Google Cloud Platform (GCP), adhering to best practices and enterprise-grade security standards.
  • Develop scalable full-stack applications integrating AI/ML capabilities.
  • Build and maintain backend services with Python and frontend UIs using React.js/TypeScript.
  • Integrate AI/ML APIs and services including LLMs, generative models, and intelligent automation tools.
  • Deploy and manage AI models in production using AWS and GCP services (e.g., SageMaker, GKE, Cloud Run).
  • Collaborate with cross-functional teams to define requirements, prototype features, and deliver high-quality AI-powered solutions.
  • Implement and manage CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
  • Write and maintain reusable Python libraries, with strong attention to scalability and maintainability.
Required Skills & Experience:
  • Minimum 4+ years of hands-on experience in Python development with AI/ML integration.
  • Strong proficiency in Python and familiarity with Flask, FastAPI, and/or Django.
  • Experience developing and deploying applications on AWS and GCP cloud platforms.
  • Solid understanding of machine learning principles, AI model lifecycles, and deep learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with RESTful API development, API security best practices, and API documentation tools (e.g., Swagger/OpenAPI).
  • Good understanding of frontend development with React.js, TypeScript, or similar frameworks.
  • Familiarity with CI/CD, Git workflows, testing frameworks, and containerization (Docker/K8s).
Preferred Qualifications:
  • Experience with Large Language Models (LLMs), diffusion models, or transformers.
  • Familiarity with LangChain, FAISS, Pinecone, or other vector search/LLM orchestration tools.
  • Background in MLOps, including model monitoring, versioning, and retraining strategies.
  • Experience with data engineering tools like PySpark, Apache Beam, SQL, or ETL workflows.
  • Knowledge of prompt engineering techniques for LLM optimization.
  • Exposure to synthetic data generation and data augmentation techniques.

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