Sr. AI Process Engineer, Seller Compliance
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a highly technical Senior Process Engineer to lead AI-driven engineering initiatives in the Compliance domain. This senior role focuses on designing building and operating AI-powered solutions that improve Seller compliance outcomes and significantly enhance operational efficiency.
The ideal candidate brings deep handson expertise in AI/ML development with a strong track record of building deploying and scaling production-grade AI systems. You will design system architectures build efficient ML models and data pipelines and drive technical collaboration across engineering science and product teams.
You are passionate about writing highquality code making sound architectural decisions and ensuring that AI systems are robust maintainable and secure. You excel at translating business requirements into scalable solutions mentoring engineers and driving technical excellence in a fastpaced environment. Experience with Python cloud platforms (e.g. AWS) and ML operations is essential; familiarity with compliance or regulatory domains is preferred. This role offers the opportunity to shape the future of Compliance via innovative AI engineering solutions.
Key job responsibilities
Technical Development & Architecture
* Design and implement scalable AI/ML solutions for Compliance use cases
* Lead the development of efficient ML models and endtoend data processing pipelines from ingestion to serving.
* Build robust production-grade AI services using Python and modern ML frameworks.
* Make and document sound architectural decisions ensuring systems are scalable secure and costeffective.
* Establish and maintain high engineering standards including testing monitoring and documentation.
Engineering Leadership
* Partner closely with data scientists product managers and operations teams to deliver endtoend AI/ML solutions.
* Define and evolve the technical architecture for AI-powered features and platforms.
* Lead code reviews enforce best practices and elevate engineering quality across the team.
* Continuously improve AI system performance reliability and latency through experimentation and optimization.
Technical Collaboration & Operations
* Work with crossfunctional partners to understand requirements refine scope and prioritize technical work.
* Provide technical guidance and mentorship to junior and midlevel engineers.
* Collaborate with platform and DevOps teams to ensure smooth deployment monitoring and maintenance of AI systems.
* Implement and evolve ML Ops practices (e.g. CI/CD for models feature stores model monitoring and retraining workflows).
- 7 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- Bachelors degree in Computer Science Engineering or a related technical field
- Strong proficiency in Python and modern ML frameworks (e.g. PyTorch TensorFlow or similar).
- Demonstrated experience designing implementing and operating production AI systems at scale.
- Handson experience with cloud platforms (preferably AWS) and associated ML services.
- Masters degree in Computer Science Machine Learning or a related field.
- Experience with NLP deep learning or document understanding applications.
- Experience working with Compliance risk management or other highly regulated systems.
- Proven track record of leading technical teams or initiatives and mentoring engineers.
- Handson experience with ML Ops including model deployment monitoring and lifecycle management.
- Strong problemsolving analytical and troubleshooting skills with a bias for action.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The ideal candidate brings deep handson expertise in AI/ML development with a strong track record of building deploying and scaling production-grade AI systems. You will design system architectures build efficient ML models and data pipelines and drive technical collaboration across engineering science and product teams.
You are passionate about writing highquality code making sound architectural decisions and ensuring that AI systems are robust maintainable and secure. You excel at translating business requirements into scalable solutions mentoring engineers and driving technical excellence in a fastpaced environment. Experience with Python cloud platforms (e.g. AWS) and ML operations is essential; familiarity with compliance or regulatory domains is preferred. This role offers the opportunity to shape the future of Compliance via innovative AI engineering solutions.
Key job responsibilities
Technical Development & Architecture
* Design and implement scalable AI/ML solutions for Compliance use cases
* Lead the development of efficient ML models and endtoend data processing pipelines from ingestion to serving.
* Build robust production-grade AI services using Python and modern ML frameworks.
* Make and document sound architectural decisions ensuring systems are scalable secure and costeffective.
* Establish and maintain high engineering standards including testing monitoring and documentation.
Engineering Leadership
* Partner closely with data scientists product managers and operations teams to deliver endtoend AI/ML solutions.
* Define and evolve the technical architecture for AI-powered features and platforms.
* Lead code reviews enforce best practices and elevate engineering quality across the team.
* Continuously improve AI system performance reliability and latency through experimentation and optimization.
Technical Collaboration & Operations
* Work with crossfunctional partners to understand requirements refine scope and prioritize technical work.
* Provide technical guidance and mentorship to junior and midlevel engineers.
* Collaborate with platform and DevOps teams to ensure smooth deployment monitoring and maintenance of AI systems.
* Implement and evolve ML Ops practices (e.g. CI/CD for models feature stores model monitoring and retraining workflows).
- 7 years of working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage experience
- Knowledge of data engineering pipelines cloud solutions ETL management databases visualizations and analytical platforms
- Bachelors degree in Computer Science Engineering or a related technical field
- Strong proficiency in Python and modern ML frameworks (e.g. PyTorch TensorFlow or similar).
- Demonstrated experience designing implementing and operating production AI systems at scale.
- Handson experience with cloud platforms (preferably AWS) and associated ML services.
- Masters degree in Computer Science Machine Learning or a related field.
- Experience with NLP deep learning or document understanding applications.
- Experience working with Compliance risk management or other highly regulated systems.
- Proven track record of leading technical teams or initiatives and mentoring engineers.
- Handson experience with ML Ops including model deployment monitoring and lifecycle management.
- Strong problemsolving analytical and troubleshooting skills with a bias for action.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Senior IC
Key Skills
- Lean Manufacturing
- Six Sigma
- Distributed Control Systems
- Continuous Improvement
- Process Improvement
- Minitab
- Root cause Analysis
- Process Engineering
- cGMP
- Kaizen
- Programmable Logic Controllers
- Manufacturing
About Company
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