Senior Ai Engineer

Department: INFORMATION TECHNOLOGY Experience: 3 YearsDeadline: December 20, 2025Location: BAGH, Pakistan

Position Overview

We are seeking a highly skilled Senior AI Engineer to join our growing AI & Innovation team. The ideal candidate will be responsible for designing, developing, deploying, and maintaining advanced AI and machine learning solutions that enhance our healthcare technology ecosystem. This role requires deep technical expertise, strategic thinking, and the ability to lead AI initiatives from concept to production.

Key Responsibilities

• Develop and deploy machine learning, deep learning, NLP, and Generative AI models for enterprise-level healthcare applications.
• Build scalable AI pipelines, integrate models into production systems, and optimize performance.
• Work closely with cross-functional teams — including engineering, product, and data teams — to develop AI-driven features and solutions.
• Conduct data analysis, feature engineering, and model evaluation using best practices.
• Research and implement state-of-the-art algorithms to improve automation, accuracy, and system intelligence.
• Lead technical discussions, mentor junior AI engineers, and contribute to architectural decisions.
• Ensure AI systems comply with security, privacy, and regulatory standards relevant to healthcare.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 3+ years of hands-on experience in AI/ML engineering, model development, and deployment.
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, scikit-learn, and HuggingFace Transformers.
• Solid understanding of Generative AI, LLMs, vector databases, embeddings, and retrieval-augmented generation (RAG).
• Experience with MLOps tools, containerization (Docker), and cloud platforms (AWS, Azure, or GCP).
• Knowledge of data pipelines, ETL workflows, and APIs.
• Strong problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

• Programming languages: Python (primary), knowledge of others is a plus
• AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn, HuggingFace Transformers
• Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)
• Containerization and Orchestration: Docker, Kubernetes (optional)
• Databases: SQL, NoSQL, vector databases (e.g., Pinecone, Weaviate)
• Data processing: ETL tools, data pipelines
• Version control: Git and related tools
• MLOps tools: MLflow, Kubeflow, or similar (preferred)
• API development and integration

Total Position(s)

6 Positions

Gender

Does not matter

Minimum Education

Bachelors Degree

Degree Title

Bachelors Degree

Shift

Evening

Nature of Job

Work From Office