Software Development Engineer - II, FinTech - Machine Learning

Amazon is hiring a Software Development Engineer - II, FinTech - Machine Learning in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include Generative AI, LLMs and NLP.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Develop machine learning applications, pipelines, and GenAI solutions to analyze and secure transactions in Amazon's FinTech group.

generative-aillms

nlpmachine-learningsoftware-developmentpythonanomaly-detectiondata-pipelines

Do you want to be part of a team building machine learning applications that process and analyze transactions worth billions of dollars a day using the latest technology? Do you want to make a tangible impact measured in terms of millions of dollars saved?

In our Finance Technology group, we develop machine learning systems that scrutinize billions of dollars in transactions from across Amazon's businesses. Our mission is to drive wider adoption of machine learning solutions for finance processes. We build applications utilizing advanced techniques like forecasting, classification, and anomaly detection. Our current projects range from identifying anomalies in data to predicting optimal cash levels for accounts. We utilize the newest tools and technologies such as Generative AI and Large Language Models.

On a typical day, you'll collaborate closely with machine learning scientists, fellow software engineers, and finance teams across Amazon. You'll work with massive datasets in the terabytes range, developing robust machine learning pipelines to process billions in transaction value. We emphasize partnering with our internal customers, so you'll interact directly with them to understand requirements and get feedback.

Our team thrives on innovation, and we're open to new approaches. You'll have opportunities to test your ideas in production environments dealing with real financial data and processes. Join us to apply advanced machine learning capabilities that drive efficiencies and insights for Amazon's finance operations at a massive scale.

Key job responsibilities
In this role, you will participate in all parts of the software development process, from collaborating with customers on design to executing that design in a scalable and extensible way. You will have the opportunity to detect fraudulent transactions/vendors by applying machine learning techniques and help Amazon business every day.

A day in the life
In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance Operations. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world.

About the team
Our team owns machine learning applications and we work with finance operations to prevent, recover, or avoid internal and external theft, fraud, abuse, and waste.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience in development or technical support

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer - II, FinTech - Machine Learning at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer - II, FinTech - Machine Learning is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TS, Hyderabad.
The job was posted on June 29, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPMachine learningSoftware DevelopmentPythonAnomaly DetectionData PipelinesGenerative AILLMs

Also common in software engineer jobs at this level

Python C++AWS AI agents Kubernetes Java

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where anomaly detection was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, Machine learning, Software Development, Python, and Anomaly Detection. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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