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IBM ML engineer in Krakow, Poland

Introduction

WatsonX Orders is an IBM Silicon Valley based technology development group targeting the development of world-class conversational AI. Our mission is to deliver advanced technology solutions that address real-world, data driven needs in a customer-facing the quick service restaurant, environment. We are focused on using state-of-the-art Machine Learning, AI, and related technologies to completely transform the customer experience!

Your Role and Responsibilities

We are seeking to hire a ML Engineer to join our growing team! This is a hands-on technical role where you will spend most of your time designing, coding, and implementing ML solutions to intent and understanding problems, along with ongoing evaluation of model performance both in isolation as well as using results from production use cases. We are looking for someone who has expertise designing and implementing ML training pipelines as we improve and scale our conversational AI products. As a ML Engineer, you are a ML specialist who will collaborate with other engineers to tackle complex algorithmic and architectural challenges.

You will:

  • Investigate and experiment with new model architectures to improve existing ML models, training pipelines, and run-time inference performance

  • Creatively balance the demands of production-level software engineering with exploratory research and development

  • Work with teams to develop and improve ML pipelines that go all the way from R&D to at-scale deployment

Required Technical and Professional Expertise

  • Extensive experience working with large production codebases

  • Experience using PyTorch, TensorFlow, or similar tools

  • Hands-on experience with ML model deployment and inference in a production environment

  • Experience with sequence-to-sequence neural networks (e.g. LSTMs, GRUs, Transformers, etc) in any domain

  • Deep understanding of Machine Learning mathematics and linear algebra

Preferred Technical and Professional Expertise

  • Experience developing production-level Python

  • Experience of working on NLP, ASR or TTS models

  • Experience with MLOps and/or ML at scale

About Business UnitIBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementIBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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