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Amazon Hiring for Graduate Entry Level 2026

Amazon Hiring for Graduate, Fresher,  Entry Level role in various domain such as Technology, Engineering, Finance, Digital, Operation, Business Operation, Customer services, Supply Chain and Logistics and many more domain at India

Job Overview:

Research Scientist, SSG Science

We are looking for exceptional early career research scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.

Job Responsibilities:

• Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals
• Work with senior researchers to optimize Gen AI models for edge platforms using Amazon’s Neural Edge Engine
• Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems
• Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship
• Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings
• Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems
• Participate in reading groups and research discussions to build expertise in efficient AI and edge computing

Qualifications:

• Bachelor’s degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• PhD, or a Master’s degree and experience with popular deep learning frameworks such as MxNet and Tensor Flow
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Experience in Java, C++, Python, or a related language
• 1+ years of industry or academic research experience

Preferred Qualifications

• Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development
• Experience in patents or publications at top-tier peer-reviewed conferences or journals

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Electrical Data Center Engineer

Electrical Data Center Engineer, Data Center Colocation Regional Engineering

• Conduct on-site assessments in accordance with AWS standards for colocation datacenters, facility upgrades, and general capital ventures.
• Execute risk analyses and availability calculations for colocation datacenter infrastructure owned and operated by the vendor to determine fitness for use/fitness for service.
• Influence AWS design requirements and specifications to meet our business needs for AWS colocation products.
• Investigate and document root cause analysis of infrastructure and equipment failures.
• Work with vendors and local agencies with jurisdiction to ensure compliance with federal, state, and municipal requirements and codes.
• Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls/structural systems.

Qualifications

• Bachelor’s degree in Electrical Engineering or a related field
• Knowledge of critical data center mechanical and electrical equipment
• Knowledge of Microsoft Office including Outlook, Word, and Excel
• Experience with the design, construction, operation, or maintenance of mission critical facilities, especially data centers

Preferred Qualifications

• Knowledge of building codes and regulations for your region
• Knowledge of commercial or industrial power systems or mechanical systems
• Experience carrying design concepts through exploration, development, and into deployment or mass production
• Experience using a variety of web-based and other software tools for calculation and data processing

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Finance Graduate Program

We are looking for highly motivated, analytically-minded graduates ready to join our 24-months Finance Graduate Program in Munich (Germany).

As a Finance Trainee, a wide variety of challenging opportunities is waiting for you to provide you with a fast track into the Finance world at Amazon. Supported by senior leaders, experts, mentors as well as our program alumni, you will have the opportunity to develop your analytical and technical skills.

Graduate Program Overview:

• Start: September 2026
• Duration: 24 months in total, three rotations 8 months each.
• Location: Munich (international experience for single rotations might be available).
• Cross-functional rotations (see rotation overview).
• International collaboration and projects.
• Ownership and responsibility from Day 1: you will drive your business unit and projects to enhance process efficiencies in your department.
• Mentoring and a variety of training opportunities: Foundational finance training and technical training courses, German language courses.
• Exceptional career opportunities after the program in a global network: You will own the decision about your next career step within the global Amazon network.

Qualifications

• Bachelor’s or Master’s degree in Finance, Business, Economics, Engineering, or Mathematics.
• Final-year student or degree completed within the last 24 months.
• Previous practical experience in Finance (e.g., internships or working student roles).
• Proficiency in Excel (VLOOKUP, INDEX/MATCH, Pivot Tables, etc.).
• Fluent English (C1-C2).
• You must have the right to work in the country of employment.

Preferred Qualifications

• Master’s degree (or currently pursuing one).
• Strong analytical mindset and problem-solving skills.
• Knowledge of data tools such as SQL, Power BI, or VBA.
• Data visualization skills, such as proficiency in Tableau, QlikView, PowerPivot, or MicroStrategy, Amazon Quick Sight.
• Knowledge of and interest in AI.
• Demonstrated curiosity, proactivity, and willingness to take on challenges in an ambiguous, fast-paced environment.
• Excellent communication and teamwork skills, working effectively with others, driving your solutions to Deliver Results.

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