AI/ML Engineer

About the Role

As an AI/ML Engineer at Infosys, you will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to solve complex business problems. Your day-to-day tasks will involve working with large datasets, training and testing models, and integrating them into software applications. You will also collaborate with cross-functional teams to ensure seamless integration and deployment.

Key Responsibilities

• Design and develop AI/ML models using popular libraries such as TensorFlow and PyTorch
• Collect and preprocess large datasets for training and testing models
• Collaborate with data scientists and engineers to integrate models into software applications
• Develop and maintain high-quality code, following industry standards and best practices
• Conduct unit testing and integration testing to ensure model accuracy and reliability
• Stay up-to-date with the latest advancements in AI/ML and apply them to real-world problems
• Communicate complex technical ideas to non-technical stakeholders

Skills & Qualifications

• Master's or Bachelor's degree in Computer Science, Engineering, or a related field
• Strong programming skills in languages such as Python, Java, or C++
• Experience with popular AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of machine learning algorithms and their applications
• Experience with data preprocessing and feature engineering
• Good understanding of software development life cycles and agile methodologies
• Familiarity with cloud-based platforms such as AWS or Azure

What You'll Learn

As an AI/ML Engineer at Infosys, you will have the opportunity to work on cutting-edge projects and learn from experienced professionals in the field. You will gain hands-on experience with AI/ML tools and technologies, as well as develop your skills in software development, data analysis, and problem-solving. This role will help you grow as a professional and prepare you for leadership positions in the future.

Resume Tip

When applying for this role, make sure to highlight your hands-on experience with AI/ML tools and technologies. Include specific examples of projects you have worked on, and the skills you have developed. Also, be sure to emphasize your ability to work collaboratively with cross-functional teams and communicate complex technical ideas to non-technical stakeholders.