Senior AI Engineer

Location: Karachi
Qualification: BS / BE in Computer Science, or similar field; MS / ME degree is a plus
Experience: At least 5+ years hands-on programming experience working on Computer Vision, Natural Language Processing, or Generative AI.

Key Responsibilities

• Design, develop, and implement AI/ML models for predictive analytics, computer vision, NLP, and automation tasks.
• Lead the research and evaluation of cutting-edge AI frameworks and tools.
• Collaborate with data scientists, software engineers, and product teams to integrate AI models into production systems.
• Build scalable machine learning pipelines for data ingestion, preprocessing, feature engineering, and model deployment.
• Optimize and monitor deployed models for performance, accuracy, and drift.
• Contribute to architecture design for AI-driven systems, ensuring robustness, scalability, and maintainability.
• Mentor junior engineers and review AI/ML code, models, and design documents.
• Document processes, experiments, and findings to ensure reproducibility and transparency.
• Stay updated with recent advancements in AI/ML technologies and suggest improvements to existing systems.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5+ years of hands-on experience in AI/ML model development and deployment.
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or Hugging Face.
• Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with data pipelines and MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
• Familiarity with cloud AI platforms (AWS SageMaker, Azure ML, or Google Vertex AI).
• Solid knowledge of SQL/NoSQL databases and data engineering practices.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience in Computer Vision, Natural Language Processing, or Generative AI.
• Background in Reinforcement Learning or Explainable AI.
• Understanding of DevOps and CI/CD pipelines for AI applications.
• Experience working with large-scale datasets and distributed training.
• Publications or open-source contributions in AI/ML communities.

Job Type: Full-time

Work Location: In person