AI/ML Engineer Classification & Retrieval Systems

About the Role

As an AI/ML Engineer specializing in Classification & Retrieval Systems at Uplers, you will be responsible for designing and developing cutting-edge AI-powered systems that enable efficient information retrieval and classification. Your primary focus will be on building and deploying machine learning models that can accurately classify and retrieve relevant data from large datasets. You will work closely with cross-functional teams to integrate these systems into our software products.

Key Responsibilities

• Design and develop AI-powered classification and retrieval systems using machine learning algorithms and techniques.
• Develop and deploy machine learning models using popular frameworks such as TensorFlow or PyTorch.
• Collaborate with data scientists and engineers to integrate machine learning models into software products.
• Work with large datasets to train and fine-tune machine learning models for optimal performance.
• Develop and maintain high-quality code, adhering to coding standards and best practices.
• Contribute to the development of new features and improvements to existing systems.

Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong foundation in machine learning concepts, including supervised and unsupervised learning.
• Proficiency in programming languages such as Python or R.
• Experience with popular machine learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data structures and algorithms, including graph theory and linear algebra.
• Experience with cloud-based platforms such as AWS or Google Cloud.
• Familiarity with APIs and data integration tools such as OpenAI API, Gemini API, and Anthropic API.

What You'll Learn

As an AI/ML Engineer at Uplers, you will have the opportunity to work on cutting-edge projects that push the boundaries of AI-powered classification and retrieval systems. You will learn from experienced professionals and contribute to the development of innovative solutions that can be applied to real-world problems. This role will help you develop a strong foundation in machine learning concepts, programming languages, and software development practices.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning frameworks, programming languages, and data structures. Include specific examples of projects you have worked on, and the skills you used to develop them. Additionally, be sure to mention any relevant certifications or training programs you have completed, such as those offered by Coursera or edX.