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Urgent! Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence - Local Job Opening in Berlin
DESCRIPTION
Our team builds data-driven automation capabilities to support critical service operations in Retail and IT with global impact.
Automation improves the operations and availability of consumer services with a positive impact on millions of users every year.
We leverage off the sciences of data and information processing to build tooling and machine learning capabilities.
Our work contributes to increase service operation resilience and enables us to act ahead of service disruptions, while simplifying system and information complexity.
As a Machine Learning Engineer of the AICE team, you have an important role in implementing and operating end-to-end machine learning and data processing pipelines that integrate with our partners' production systems.
You work in synergy with our applied scientists, data scientists, machine learning engineers, and partners to design machine learning models and evaluation experiments at scale.
You are well familiar with all aspects of practical machine learning, encompassing sound use of data preprocessing techniques, analysis, modelling (e.g., neural networks, regression, estimators, probabilistic models, etc.), hyper-parameter tuning approaches, and validation methods.
In addition, you demonstrate excellent software development engineering skills that you use daily for designing computationally effective solutions and for machine learning operations (MLOps) in large-scale production environments.
Key job responsibilities
- You design model experimentation in synergy with our scientists.
- You own the development and operationalization of solutions deployed in production.
- You work across multiple teams to integrate our solutions with products owned by our partners.
- You help the team grow and cultivate best practices in software development, MLOps, and experimentation.
A day in the life
Almost every day offers new challenges and opportunities for growth.
Where one day will offer implementation of experimentation tooling, the next day may be focused on our operational excellence in maintaining our code base.
Later in the week, you may sort technical challenges with our partners to help them enrich their products with our models.
On some days or weeks, you may watch over our products and stand ready to intervene and provide support to partners consuming our models.
About the team
We work back to back to address the technical challenges of automation across a variety of products, software, and systems.
Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills.
Together, we are a powerful team of specialists that bring the potential of practical machine learning to the max with impact on millions of Amazon customers.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability, and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience in Machine Learning Operations (MLOps) in deploying, operationalizing, and maintaining scalable AI/ML solutions in production.
PREFERRED QUALIFICATIONS
- Master's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in machine learning, data mining, information retrieval, statistics, or natural language processing
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify, and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Berlin, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Berlin, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 836 jobs in Germany and 94 jobs in Berlin. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ENGINEERINGUK is currently hiring and seeking a Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence Jobs Berlin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ENGINEERINGUK adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence Jobs Germany varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Machine Learning Engineer, MLOps/MLaaS, Engine AI Center of Excellence interview at ENGINEERINGUK, research the company, understand the job requirements, and practice common interview questions.
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