Role Overview:

As a Full Stack Developer specializing in Machine Learning and Cloud Services, your role will be pivotal in creating cutting-edge applications that harness the power of Machine Learning and Artificial Intelligence while leveraging cloud-based infrastructure for scalability and efficiency. You will be at the forefront of technology, contributing to developing innovative solutions that meet business needs.

        Key Responsibilities:

Develop and Enhance Applications using Machine Learning and AI Technologies:

• Utilize your Machine Learning and AI expertise to design, develop, and enhance web applications, integrating intelligent features and functionalities.

• Implement machine learning models and algorithms to solve complex problems and improve user experiences.

• Continuously refine and optimize ML/AI components to ensure accuracy and efficiency.

Implement and Manage Cloud-Based Services and Infrastructure:

• Architect, deploy and manage cloud-based services and infrastructure using AWS, Azure, or Google Cloud platforms.

• Ensure applications' scalability, availability, and security by leveraging cloud resources and services.

• Implement best practices for cloud resource management, monitoring, and cost optimization.

Collaborate with Teams to Develop Scalable and Efficient Full-Stack Applications:

• Work closely with cross-functional teams to define project goals and requirements, including data scientists, UX/UI designers, and product managers.

• Collaborate in developing scalable, efficient, and user-centric full-stack applications.

• Follow best practices in full-stack development, from front-end design to backend architecture, ensuring seamless integration of ML/AI components.

Stay Updated with the Latest Developments in Cloud Services and Machine Learning:

• Maintain a deep understanding of the rapidly evolving landscape of cloud services and machine learning technologies.

• Stay informed about industry trends, best practices, and emerging tools and frameworks.

• Continuously evaluate and recommend new technologies and methodologies to enhance project outcomes.

Qualifications:

• Proven experience as a Full Stack Developer focusing on Machine Learning and AI technologies.

• Proficiency in cloud service providers such as AWS, Azure, or Google Cloud.

• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience with frontend and backend technologies, including web development frameworks and languages (e.g., React, Node.js, Python, Django).

• Excellent problem-solving and collaboration skills.

• Ability to adapt to fast-paced, dynamic environments and deliver high-quality solutions.

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

Additional Note on Security Clearance:

• Clearance Requirement: The necessity of obtaining a government security clearance for this position is To Be Determined (TBD) and will be contingent on specific project requirements. If required, successfully obtaining and maintaining a government security clearance will be integral to the role.

• Potential Clearance Process: If a security clearance is needed, candidates will be subject to a thorough background check and must fulfill the government's eligibility criteria.

• Conditional Employment: The role may require the maintenance of an active security clearance, along with periodic re-investigations, as dictated by security protocols.

• Support and Guidance: Should security clearance be mandatory, candidates will receive comprehensive support and guidance from our HR and Security teams throughout the process.

• Confidentiality and Integrity: High levels of integrity and confidentiality are expected, particularly in handling sensitive or classified information, should the role require a security clearance.