Machine Learning Engineer, AWS Professional Services

Key Skills

Java Programming, Risk Analytics, Python Programming, Framework, SQL, AWS, Machine learning techniques, MLOps tools

Job Description

Job summary
Possible locations: Warsaw, Krakow, Wroclaw, Gdansk

Are you passionate about industrialization of Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us!

Amazon Web Services (AWS) is looking for a skilled and motivated Professional Services Machine Learning Engineer for our Global Competency Center in Warsaw. AWS Professional Services is a unique organization. Our customers are the most-advanced companies in the world. We build world-class, cloud native solutions to solve real business problems for our customers. We help customers to get business outcomes with AWS. Our projects are often unique, one-of-a-kind endeavors that no one ever has done before.

Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet, PyTorch and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.

You must have deep technical experience working with technologies related to industrialisation of artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models.

You will focus on delivering innovative solutions to our customers by accelerating their adoption of cloud and driving the value of their investment in AWS. Utilizing your broad and deep knowledge of technology and IT operations you will create solutions by mapping common customer business problems to reusable services focused on operational effectiveness and business value.

??Roles and Responsibilities

• Understand customer business needs and guide them to a solution using AWS AI/ML Services and Frameworks.
• Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining.
• Improve ML models reproducibility, auditing, and performance capabilities.
• Collaborate with the sales and service team, as well as partner and customer stakeholders.
• Translate business problems into ML problems and create ML solutions to produce desired customer business outcomes.
• Develop business KPIs for machine learning model evaluations.
• Share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
• Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback.

As an Amazonian, you will demonstrate the Amazon Leadership Principles, coaching and mentoring others on best practices, performance and career development.

This is a customer-facing role. When appropriate and safe, you will be required to visit our main office (Warsaw) and to travel to Customer locations upon request.