International Trainee driving AI integration and usage increase in Baltic Retail Bank. Collaborating with sales units to enhance customer value and operational efficiency.
About the role
- Senior AI Technologist identifying opportunities to integrate AI into processes while collaborating with stakeholders. Designing data structures and improving data quality for AI initiatives.
Responsibilities
- Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling
- Design and implement data structures, metadata models, naming conventions, and data standards to support AI and machine learning initiatives
- Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows
- Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows
- Build and maintain data preparation pipelines to support model training, testing, retrieval, and operational AI applications
- Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints
- Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls
- Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives
Requirements
- Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field
- 8-10 years of engineering experience
- 3+ years of experience supporting AI, natural language processing, RAG, and related solutions
- Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications
- Experience designing vector databases and retrieval pipelines
- Experience developing MCP Servers and Clients
- Understanding of data quality management practices, including validation, normalization, deduplication, and error handling
- Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock)
- Strong experience developing AI solutions in Python, Golang, or Typescript
- Strong analytical, troubleshooting, and documentation skills
- Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Brand & AI Operations Manager at Searchperts in Düsseldorf focusing on brand growth and efficient AI processes. Manage dual responsibilities in marketing and technology integration.
Energy Engineer leading onboarding projects for AI - driven energy management at etalytics. Configuring and optimizing customer - specific energy systems using our etaONE® platform.
AI Technology Intern supporting strategic initiatives and AI - enabled projects in a corporate environment. Gaining hands - on experience while working closely with cross - functional teams to drive business outcomes.
AI Engineer II at Honeywell responsible for developing and implementing AI algorithms and systems. Collaborating with teams in a hybrid work setting to solve complex business challenges.
CO
Applied Researcher I at Capital One focusing on AI in banking. Collaborating with cross - functional teams to develop AI - powered products with a focus on customer interactions.
AI Partner Technical Engineer guiding partners in Dell’s AI Technical Partner Program. Ensuring seamless technical journeys and optimizing AI solutions compliance with Dell’s criteria.
Associate Director leading medical engagement transformation for Johnson & Johnson Oncology portfolio. Designing and delivering analytics solutions for enhanced customer engagement in healthcare.
AI Change Enablement Consultant enabling clients through design - led thinking and practical enablement. Role involves collaboration with architects and stakeholders to drive measurable outcomes.
Incident & Problem Manager responsible for critical incident resolution and AI evolution in incident management at Omnissa. Leading operational excellence in a global IT operations organization.