Job Summary

Amazon is seeking a highly motivated and detail-oriented Python & TensorFlow Machine Learning Intern to join our dynamic team in a fully remote capacity. This internship offers an exceptional opportunity to work on real-world machine learning projects that drive business outcomes at scale. You will collaborate with a diverse group of scientists, engineers, and analysts, contributing to the design, development, and deployment of machine learning models to solve complex business challenges across Amazons ecosystem. This is your chance to work in one of the most innovative environments, pushing the boundaries of artificial intelligence.

Key Responsibilities

• Design, prototype, and implement machine learning models using Python and TensorFlow to address business challenges.
• Collaborate closely with cross-functional teams including data scientists, software engineers, and business stakeholders.
• Analyze large datasets to extract meaningful patterns, trends, and insights to support model development.
• Optimize and scale machine learning models for production environments.
• Assist in the preparation of technical documentation, project reports, and presentations to communicate findings and recommendations.
• Stay up to date with the latest research and advancements in machine learning and AI.
• Support the team in troubleshooting, debugging, and performance tuning of machine learning pipelines.

Required Skills and Qualifications

• Currently pursuing a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong proficiency in Python programming language.
• Solid understanding of TensorFlow or similar machine learning frameworks.
• Familiarity with key machine learning concepts such as supervised and unsupervised learning, neural networks, deep learning, and model evaluation metrics.
• Experience working with large datasets using data processing tools such as Pandas, NumPy, or equivalent.
• Excellent problem-solving and critical-thinking skills.
• Strong verbal and written communication skills.

Experience

• Prior internship or academic project experience in developing and deploying machine learning models is preferred.
• Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
• Familiarity with version control systems such as Git is desirable.
• Participation in Kaggle competitions, open-source contributions, or machine learning hackathons will be an added advantage.

Working Hours

• Full-time internship position.
• Flexible working hours based on project requirements (approximately 35-40 hours per week).
• Virtual/Remote role with potential for collaboration across global teams in different time zones.

Knowledge, Skills, and Abilities

• Strong analytical and quantitative skills.
• Ability to work independently as well as in a collaborative team environment.
• Proactive attitude with the ability to handle multiple projects and meet tight deadlines.
• Eagerness to learn new technologies and continuously improve skillsets.
• High attention to detail and commitment to delivering high-quality results.

Benefits

• Competitive internship stipend.
• Access to Amazons internal learning and development programs.
• Mentorship from experienced machine learning scientists and engineers.
• Opportunity to work on impactful projects that contribute to Amazons business.
• Networking opportunities with Amazon professionals and fellow interns.
• Potential for future full-time employment based on performance.

Why Join

At Amazon, you will work in an environment that fosters creativity, innovation, and professional growth. This internship will give you exposure to cutting-edge technologies, large-scale datasets, and business-critical machine learning applications. You will be part of a diverse and inclusive culture where your ideas are valued and your contributions have a global impact.

How to Apply

If you are passionate about machine learning and eager to work on real-world challenges at one of the worlds most influential companies, we encourage you to apply today. Submit your updated resume, a brief cover letter highlighting your interest and relevant experience, and any portfolio or project work that demonstrates your skills.

Apply now via Amazons career portal and search for Python & TensorFlow Machine Learning Intern - Virtual.