Machine Learning Engineer

Job Overview

Job Description:

We are seeking a versatile Machine Learning Engineer with expertise in GenAI,

ML, TensorFlow, PyTorch to join our team. The role entails developing and implementing machine learning models to enhance cybersecurity solutions for medical IoT devices. Key responsibilities include data preprocessing, experimentation with algorithms, deployment of models, and optimizing real-time security solutions. The engineer will also collaborate with cross-functional teams to address emerging cyber threats and continuously

improve the AI platform.

Key Responsibilities:

• Strong programming skills in Python, R, or a similar language.

• Experience with data preprocessing, data engineering, and working with

large datasets

• Familiarity with tools like TensorFlow, PyTorch, or Scikit-learn

• Understanding of cybersecurity principles and knowledge of IoT or

embedded systems is a plus

• Ability to grasp complex technical problems and implement effective

solutions

• Contribute to continuous improvement of testing processes and best

practices.

• Strong problem-solving skills.

• Good communication and teamwork skills.

Additional Desired Qualifications:

• Familiarity with cybersecurity fundamentals.

• Understanding of IoT and IoMT devices.

• Knowledge of cloud platforms, such as AWS, Google Cloud, or Azure.

• Knowledge of AI and ML concepts.

• Understanding of software development methodologies (Agile, Scrum,

etc.).