Data Science Architect (DS/AI/ML)

Job description

Introduction
At IBM, architects work to understand needs and create high-quality solutions that make meaningful impact. They possess knowledge of market leading technologies along with industry and business skills to influence outcomes. They are leaders, who take responsibility for an end-to-end solution delivery, starting from requirement gathering through solution architecture design to successful implementation and deployment.
 
We are looking for a highly motivated and innovative AI architect, who’ll join our Data & AI Software services organization IBM Expert Labs in the beautiful city of Kraków, Poland. We’re looking for a person with a passion to the world of data science, machine learning and AI.

Your Role and Responsibilities

As an individual contributor this position will work directly with cross functional teams, product management, support and engineering to build and transform AI and ML systems at customers. You will have a direct impact on young talents in Global Delivery Center acting as a role model and inspiration.

Your role & Responsibilities:

·  Work in customer projects on data science implementations – solution architecture design, solution review and health checks, ongoing project help and supervision, ongoing solution consultancy i.e. data model building, testing and training strategies
·  Work on and provide with reference architecture and guidelines, standards and best practices for greater IBM data science technology adoption and implementation (i.e. data modeling, data lineage, data governance, data virtualization) to share across the WW team
·  Review solutions and designs of peers, Support peers and IT partners by recommending solutions that reduce/manage risk and deliver value.
·  Monitor technology trends and emerging technologies. Model a future-state enterprise solution architecture which incorporates IBM data science platform. Help driving technology strategies and initiatives into actionable roadmaps with clear direction on execution, ensuring business value and ROI
·  Design and implement own, new tools for automating deployment or migration, etc.
·  Work in an agile and collaborative, international and cross-functional environment, including account teams, product management, support, engineering, other data scientists and database administrators.

Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products, you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business. 

Excellent onboarding and industry-leading learning culture will set you up for a positive impact, while advancing your career. Our culture is collaborative and experiential. As part of a team, you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Required Technical and Professional Expertise

·  B.S. in Computer Science, Engineering, or equivalent experience in Computer Science/Information Systems/Engineering
·  5+ yrs. experience in data science – i.e. statistical functions and algorithms, data modelling, analytics, business intelligence, natural language understanding, decision optimization, DataOps
·  Experience with statistical programming in one of the most popular languages (ex: Python, R, SAS or Java) and data science toolkits (Jupyter notebooks, PyTorch, PyCharm, sci-kit, etc.)
·  Understanding of data usage, process analysis and improvement
·  Understanding of hybrid cloud architectures and data integration needs
·  Working knowledge of containerized environments like RedHat OpenShift, Dockers, K8s
·  Must have a proven track record of innovation – 3x exemplary projects
·  Knowledge sharing opportunities, like speaking at conferences, publications
·  Excellent oral and written communication skills
·  Being detail-oriented, team-oriented, self-directed and adaptable to new development environments and changing business requirements.
·  Fluency in English language
·  Knowledge in second European language despite good command of English is a must.

Preferred Technical and Professional Expertise

·  3+ yrs Experience in open source Machine and Deep Learning frameworks, model validation and deployment tools
·  Understanding of concepts of data governance, data stewardship and trustworthy AI
·  Understanding of generative AI concepts, large language models, data labelling and structuring
·  Experienced in data migration, debugging and data system performance optimization
·  Familiarity with IBM Watson Knowledge Catalog, Watson Studio and Watson Assistant, Watson Natural Language Understanding
·  Preferred second European language, such as German, French, Spanish, Italian