Physicist-ML Core And AI Researcher Architect

Department Icon Data Science Analytics & Machine Learning
Posted: 1 month ago
0-1 years
Amritsar, Punjab
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 31 Oct 2026

Posted: 1 month ago
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Job Description

Try Soft Ai is hiring for Physicist-ML Core and AI Researcher Architect in Islamabad Dha Phase-Ii.

What you will do

  • & Responsibilities Summary.
  • As a accomplished and visionary Physicist-ML/AI Researcher & Software Architect Development - Cybersecurity Real-Time Anomaly Detection and Response.
  • You lead of AI to define our AI vision and execute critical machine learning projects. This is a combined role: strategic leadership plus hands-on implementation.
  • Youll be developing core components of our AI model - hands-on work at the intersection of physics, mathematics, and ML engineering.
  • This isnt research theatre.
  • Youll own significant pieces of our model architecture from mathematical foundations through implementation and optimization.

What you need

  • Strong foundation in Physics and Medical Physics, with the ability to apply these domains to AI and ML problem-solving.
  • Experience with Radiation and Treatment Planning concepts, particularly in the context of modeling, simulation, or clinical decision support.
  • Proven track record in Research and Development (R&D), including experimental design, data analysis, and prototype-to-product workflows.
  • Proficiency in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python or C++.
  • Masters or PhD in Physics, Medical Physics, Computer Science, or a closely related field; equivalent practical experience may be considered.

Role details

  • Location: Islamabad Dha Phase-Ii
  • Job type: Full-time

About Try Soft Ai

Try Soft AI develops automation, data tools, and software based on artificial intelligence.

Skills

Artificial IntelligencePythonData AnalysisDeep LearningImplementationMachine LearningAiMlPytorchTensorflow

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