AI/ML

About the Role

This AI/ML role at Infosys involves working on various aspects of data science, including data collection, profiling, and visualization. You will be responsible for developing, tuning, and validating AI models using various tools and techniques. Additionally, you will work with business users and project management teams to present findings and propose ML-based solution approaches.

Key Responsibilities

• Data collection, profiling, and EDA (Exploratory Data Analysis) to prepare data for AI model development.
• Developing, tuning, and validating AI models using various algorithms and techniques.
• Presenting findings to business users and project management teams to inform decision-making.
• Proposing ML-based solution approaches and estimates for new use cases.
• Contributing to AI-based modules in Infosys solutions development.
• Exploring new advances in AI and executing PoCs (Proof of Concepts) to stay up-to-date with industry trends.
• Mentoring junior team members on ML algorithms and AI domains.

Skills & Qualifications

• Tableau for data visualization.
• NLP (Natural Language Processing) for text-based AI applications.
• Computer Vision for image-based AI applications.
• PowerBI for data analysis and visualization.
• Azure, AWS, and GCP for cloud-based AI development.
• Python programming language for AI and data science tasks.
• Knowledge of ML algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with data analysis, auto ML, model deployment, and scaling.
• Knowledge of datasets and databases for AI and data science applications.
• Bachelor's degree in Computer Science, Data Science, or a related field.

What You'll Learn

In this role, you will have the opportunity to learn and grow in the field of AI and machine learning. You will work on various projects and contribute to the development of AI-based modules in Infosys solutions. Additionally, you will have the chance to explore new advances in AI and execute PoCs to stay up-to-date with industry trends.

Resume Tip

When applying for this role, make sure to highlight your experience with Python programming language, ML algorithms, and data analysis. Also, include any relevant projects or experiences you have with AI and data science applications. This will help you stand out as a strong candidate for this position.