We are seeking a talented and passionate Machine Learning / Computer Vision Engineer to join our team and contribute to the development of AI-powered healthcare solutions. This role will focus on translating academic research into product-ready solutions that impact the healthcare industry. As part of the team, you will work closely with researchers and product developers to build scalable, efficient, and highly accurate models using the latest advancements in ML, CV, RAG, and LLMs.

Estimated salary for this position is 110-125K PKR

Key Responsibilities:

• Collaborate with cross-functional teams to convert healthcare research into real-world products, with an emphasis on medical imaging, predictive models, and AI-driven healthcare tools.
• Design and develop machine learning models, particularly in computer vision (e.g., medical image analysis), to solve complex healthcare problems.
• Work with Retrieval-Augmented Generation (RAG) frameworks to enhance healthcare systems with advanced information retrieval capabilities.
• Develop and fine-tune Large Language Models (LLMs) for healthcare-related tasks such as clinical text summarization, question answering, and document classification.
• Integrate and deploy machine learning models into production environments, ensuring robustness, scalability, and real-time performance.
• Conduct data preprocessing, augmentation, and quality assurance to improve model performance and accuracy.
• Stay up to date with the latest research in healthcare AI, ML, and computer vision to continuously innovate and apply state-of-the-art techniques.
• Engage in hands-on development of prototypes and proof-of-concept models to demonstrate the potential of new technologies for healthcare applications.

Qualifications:

• Strong experience with machine learning, deep learning, and computer vision, with an emphasis on healthcare applications (medical imaging, predictive analytics, etc.).
• Proficiency in Python, TensorFlow, Keras, PyTorch, and other machine learning frameworks.
• Experience with Retrieval-Augmented Generation (RAG) models, transformers, and Large Language Models (LLMs).
• Familiarity with cloud platforms such as AWS, GCP, or Azure for model deployment and scaling.
• Solid understanding of data structures, algorithms, and statistical modeling techniques.
• Background in healthcare or life sciences is preferred, but not required.
• Ability to work effectively in an agile environment with fast-paced project timelines.
• Excellent problem-solving, communication, and collaboration skills.

Nice to Have:

• Experience in clinical research, electronic health records (EHR), or medical diagnostics.
• Familiarity with regulatory requirements in healthcare (HIPAA, FDA, etc.).