Job Information
IBM Data Scientist in Krakow, Poland
Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
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 developing and implementing machine learning and deep learning models, and executing 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:
Developing and implementing machine learning and deep learning models to address specific business challenges
Acting as data scientist and SME for our AI & ML use cases through having a good understanding of key AI & ML technologies and architectures
Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making
Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation
Applying statistical and mathematical techniques to analyze data, using robust analytical methods for predictive modelling and inference
Establishing and upholding stringent quality benchmarks
Applying your expertise in ML-Ops / AI-Ops
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 ethics, 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
Strong experience in AI/ML model development and evaluation with solid foundation in linear algebra, statistics & ML algorithms
Experience in design & development of ML models to extract insights and information from both structured and unstructured data
Be familiar with automated ML models evaluation techniques
Ability to design experiments to validate the feasibility and advantages of ML in different business scenarios
Ability to maintain up-to-date knowledge of advances in AI & ML
Be proficient in Python, with experience in coding and debugging in Python
Have hands-on experience with machine learning techniques and tools, including but not limited to: TensorFlow, PyTorch, scikit-learn, and XGBoost
Demonstrated ability to critically assess and challenge ML models to ensure optimal performance
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
Fluent in written and spoken English
Preferred Technical and Professional Expertise
Expertise in advanced model training methodologies including prompt tuning and fine-tuning with foundational models
Familiarity in multiple programming languages (Python, Java) demonstrating versatility and adaptability is a plus
Background in developing and implementing automation frameworks and strategies
Certification in data engineering, machine learning, or AI
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
Strong understanding of the ethical implications of AI and its applications
Linux skills, preferably in RHEL
Experience with data visualization tools such as Tableau or Power BI
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.
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 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.
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