At Ramognee, we're dedicated to our mission of ‘making security simple,’ and empowering organizations against the ever-evolving landscape of digital threats. Our core motivation revolves around securing digital environments and safeguarding sensitive data. Upholding values of integrity, innovation, collaboration, and customer-centricity, we strive to offer unparalleled cybersecurity solutions tailored to meet the unique needs of our clients.Who We Are? As an innovator in the cybersecurity domain, we take pride in our diverse portfolio of next-gen cybersecurity products and services designed to tackle a wide array of security challenges. Our team comprises seasoned cybersecurity professionals with extensive industry experience and deep domain knowledge. 

Job Duties:

• As a machine learning engineer, it is likely that the engineer will have experience working with data related to cyber security.
• However, it is important to note that working with sensitive data related to cyber security requires a high level of expertise and specialized knowledge.
• This role with additional expertise in Django Rest Framework is responsible for designing, building, and maintaining machine learning models and integrating them into Django-rest-framework based project.
• Their primary job duties include:
  1. Developing machine learning models: The engineer will develop and maintain machine learning models using a variety of tools and techniques, such as supervised and unsupervised learning, deep learning, and natural language processing.
  2. Data pre-processing and analysis: The engineer will be responsible for pre-processing and analysing data to ensure that it is clean, structured, and ready for use in machine learning models.
  3. Integration with Django Rest Framework: The engineer will integrate machine learning models into Django-based web applications using Django Rest Framework, an open-source web framework for building RESTful APIs.
  4. Testing and debugging: The engineer will test and debug machine learning models and Django Rest Framework code to ensure that they are functioning correctly.
  5. Documentation: The engineer will document their work, including machine learning models and Django Rest Framework code, to ensure that other members of the team can understand and use their work.
  6. Collaboration: The engineer will work collaboratively with other members of the development team, including software engineers, data analysts, and project managers, to ensure that machine learning models are integrated seamlessly into web applications.
  7. Staying up to date with the latest trends: The engineer will stay up to date with the latest developments and trends in machine learning and Django Rest Framework to ensure that they are using the most effective tools and techniques in their work.

Skills/Qualifications:

• Machine learning: The engineer should have a strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, natural language processing, and data pre-processing and analysis.
•  Python programming: Python is a widely used language for machine learning and web development, so the engineer should be proficient in Python programming, including libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow.
•  Data storage and management: The engineer should be familiar with database technologies such as SQL and NoSQL databases and be able to design and implement efficient data storage and management systems.
•  Problem-solving and critical thinking: The engineer should be able to analyse complex problems and develop innovative solutions, using their knowledge of machine learning algorithms.
•  Communication and collaboration: The engineer should be able to work collaboratively with other members of the development team, communicate their work effectively, and document their work clearly.