AI/ML Engineer

Brief DescriptionAI/ML EngineerExp: Min 3 years (Req) As ML Engineer, you will be responsible for designing, implementing, and optimizing ML/DL models to identify and mitigate security threats effectively. Leveraging your expertise in frameworks such as TensorFlow, PyTorch, and XGBoost, you will collaborate with our team to develop innovative solutions that enhance our cybersecurity capabilities. The ideal candidate is a tech enthusiast who thrives on research and experimentation, can work independently as well as in a team, has a solid foundation in ML/DL techniques and is proficient in python Responsibilities:

Research, design, and implement machine learning and deep learning algorithms for threat detection in cybersecurity applications. Work closely with cross-functional teams to understand requirements, develop and optimize ML/DL models using TensorFlow, PyTorch, XGBoost, and other relevant frameworks. Collaborate with other teams to integrate ML/DL models into existing codebase and deploy them efficiently. Evaluate model performance, conduct experiments, and iterate on solutions to improve accuracy and efficiency. Stay updated on the latest advancements in ML/DL techniques and cybersecurity trends.

Requirements:

Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Minimum of 3 years of hands-on experience working with machine learning and deep learning techniques. Strong programming skills in Python and the ability to navigate source code effectively. Experience working with containerization technologies like Docker and orchestration tools such as Kubernetes. Proficiency in ML/DL libraries like TensorFlow, PyTorch, Scikit-learn, Xgboost, etc… Experience in reinforcement learning, generative AI and AI agents is an advantage Experience with cloud computing platforms (Azure, AWS) is an advantage Experience with Flask or other web frameworks for API development. Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. Strong communication skills and the ability to articulate technical concepts to both technical and non-technical stakeholders.Interested candidates can apply to [ammu.suresh@prophaze.com] with the subject line "AI/ML Engineer". Preferred SkillsMachine Learning (ML)Deep Learning (DL)Neural Networks Natural Language ProcessingDockerKubernetes