Location: On-site (KARACHI)
Employment Type: Full-Time
Experience Level: 2–5 Years

Key Responsibilities

• Develop and train AI/ML models (NLP, computer vision, or recommendation systems).
• Design and build RESTful APIs using FastAPI or Flask to serve models.
• Create simple frontend dashboards or interfaces using React.js or basic Angular.
• Work with structured and unstructured data, applying preprocessing and feature engineering.
• Integrate ML pipelines with web/mobile applications and internal tools.
• Deploy and monitor models in production environments (Docker, Kubernetes, etc.).
• Collaborate with product teams to convert business needs into intelligent solutions.
• Maintain code quality, documentation, and scalable architecture across the stack.

✅ Required Skills

• Strong Python skills with experience in FastAPI, Flask, or Django REST Framework.
• Proficiency in ML libraries like PyTorch, TensorFlow, scikit-learn, and OpenCV.
• Understanding of NLP or computer vision techniques and tools (spaCy, Hugging Face, YOLO).
• Frontend skills in React.js (preferred) or Angular for lightweight dashboards.
• Experience working with MongoDB, PostgreSQL, or other production-grade databases.
• Familiarity with Docker, Git, and deployment practices.
• Ability to translate ML outputs into usable UI components and APIs.

Preferred Skills (Bonus Points)

• Experience with MLOps tools like MLflow, DVC, Airflow, or Weights & Biases.
• Exposure to GPU acceleration and model optimization techniques (ONNX, TensorRT).
• Knowledge of API security, role-based access, and authentication mechanisms.
• Familiarity with Linux shell scripting, logging, and monitoring in ML environments.
• Experience integrating AI with mobile apps or IoT devices.

Job Type: Full-time

Work Location: In person