Job Information
IBM MLOps Engineer in Krakow, Poland
Introduction
Our Software Networking Unit is looking for MLOps Engineers to join our development team of data scientists & data engineers to drive Artificial Intelligence & Machine Learning solutions for our data rich suite of software cloud networking products.
Your Role and Responsibilities
This role is primarily focused on developing ML solutions which leverage data from our products to drive insights and decision-making for our customers. The core responsibilities of the role involve supporting the automation, development and implementation of machine learning and deep learning models, management of big data infrastructure, and execution of data engineering tasks. The successful candidate will be part of our AI/ML development team who design, create, and support AI-driven products to deliver impactful AI solutions.
Your role and responsibility will encompass:
Experience in building, training & deploying ML models and automation of these activities
Programming in Java, Python, etc for automation of data extraction, model training, model deployment & production monitoring
Building automated pipelines using CICD tools & technologies such as Jenkins, Travis CI, Kubernetes, Ansible, etc.
Deploying solutions to cloud hosted systems such as IBM Cloud, AWS, Azure, GCP, etc.
Diagnosing environmental issues and introduce/implement technologies to solve them
Staying up-to-date on the latest container platform releases and containerization techniques
Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment
Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval
Staying up-to-date with the latest trends and advancements in AI/ML and related technologies, and apply this knowledge to develop innovative solutions
Ensuring that all solutions are developed with a focus on scalability, reliability, and performance
What we offer:
Working for a top 5 IT company according to Forbes 2022 best employers ranking
International and prestigious projects
Highly skilled teams of experts
Wide range of IBM trainings and certificates
Access to Udemy, Harvard Business Review, O'Reilly, Interskill, IBM AI Skills Academy
And what is more:
Contract of employment
Competitive compensation - salary range, depending on your skills and experience
Private medical care and life insurance
Employee Assistance Program
Sport, charity & other networking groups
Summer/winter camps for children
Discounts with IBM employee badge
Referral Bonus Program
Home office option
No dress code
Required Technical and Professional Expertise
5+ years experience in AI/ML model development and/or deployment of AI/ML workloads
Experience designing & developing automated pipelines for data extraction, ML model training, ML model production deployments and production monitoring
Hands-on experience from industry projects and actual validation of models for the operation, scalable deployment and operation and monitoring of machine learning applications for end users
Background in developing and implementing automation frameworks and strategies
Proficient in Python, with experience in coding and debugging in Python
Hands-on experience with a cloud computing platform such as IBM Cloud, AWS, Azure, or GCP
Experience with DevOps practices and tools such as Docker, Kubernetes, and CI/CD pipelines
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
Linux skills, preferably in RHEL
Knowledgeable in applying security practices/techniques in containerized and non-containerized solutions
Fluent in written and spoken English
Preferred Technical and Professional Expertise
Hands-on experience with machine learning techniques and tools, including but not limited to: TensorFlow, PyTorch, scikit-learn, and XGBoost
Familiarity in multiple programming languages (Python, Java) demonstrating versatility and adaptability is a plus
Certification in data engineering, machine learning, or AI
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.
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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.
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Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
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.