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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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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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