Python ML Engineer

About the Role

As a Python ML Engineer at Infosys, you will be responsible for designing, developing, and deploying machine learning models using Python. Your primary focus will be on building and integrating predictive models into software applications, ensuring high accuracy and efficiency. You will work closely with cross-functional teams to understand business requirements and implement data-driven solutions.

Key Responsibilities

• Design and develop machine learning models using Python libraries such as scikit-learn and TensorFlow.
• Collect, preprocess, and analyze large datasets to identify trends and patterns.
• Collaborate with data scientists and engineers to integrate machine learning models into software applications.
• Develop and maintain high-quality, scalable, and efficient code.
• Conduct unit testing and integration testing to ensure model accuracy and reliability.
• Stay up-to-date with the latest advancements in machine learning and deep learning techniques.
• Communicate complex technical concepts to non-technical stakeholders.

Skills & Qualifications

• Strong proficiency in Python programming language.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of data preprocessing techniques and data visualization tools.
• Understanding of software development life cycles and agile methodologies.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

What You'll Learn

As a Python ML Engineer at Infosys, you will have the opportunity to work on cutting-edge machine learning projects and develop expertise in Python programming. You will learn from experienced engineers and data scientists, and contribute to the development of innovative software solutions. This role will help you build a strong foundation in machine learning and software engineering, preparing you for a successful career in the tech industry.

Resume Tip

When applying for this role, make sure to highlight your experience with machine learning libraries and your ability to work with large datasets. Include specific examples of projects you have worked on, and the skills you have developed in Python programming. Additionally, be sure to tailor your resume to the job description, using keywords from the job posting to demonstrate your relevance and qualifications.