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Senior Machine Learning Engineer
Location: Vienna, Austria
Salary: €62,000 - €72,000 dependent on experience + excellent benefits

We are looking for a Senior Machine Learning Engineer to conduct research and develop advanced AI solutions that enhance SmartStream’s financial data processing and reconciliation platforms. In this role, you will work with large and complex financial transaction datasets to design and evaluate models supporting tasks such as transaction matching, exception management, intelligent automation of operational workflows, and many other data-driven capabilities.

The position has a strong research and experimentation component. In addition to applying established machine learning methods, you will explore and prototype new approaches, including agentic AI solutions that can assist users in navigating and automating complex reconciliation processes.

Working closely with engineers, product managers, and domain experts, you will translate real-world reconciliation challenges into robust machine learning approaches and help shape how emerging AI techniques can be applied within our products.

Job Responsibilities

Design, train, and evaluate machine learning models for product and operational use cases

Explore and analyze datasets to identify patterns, insights, and modelling opportunities

Collaborate with software engineers to deploy and maintain models in production

Define model evaluation, monitoring, and retraining strategies

Contribute to experimentation, prototyping, and research on new modelling approaches

Document methods, assumptions, and results to ensure transparency and reproducibility

Key Skills

Strong proficiency in Python and common data science libraries (e.g. NumPy, Pandas, scikit-learn, PyTorch)

Solid understanding of machine learning, statistics, and data analysis methods

Familiarity with agentic AI systems and modern AI architectures (e.g. LLM-based applications, tool-using agents, orchestration frameworks) and the ability to apply them when designing and building practical software solution

Experience developing and evaluating predictive models in production environments

Ability to work with large datasets and build reliable data pipelines

Experience communicating analytical findings clearly to technical and business stakeholders

Desirable Skills

Experience with deep learning, reinforcement learning, or generative AI methods

Familiarity with MLOps practices such as model monitoring, versioning, and automated retraining

Experience with distributed data processing frameworks or cloud-based ML platforms

Knowledge of vector databases, retrieval methods, or LLM-based systems

Experience in regulated or data-intensive industries

Qualifications

Degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

Strong problem-solving skills and curiosity about emerging AI and data science methods

Experience

4-6+ years of experience in data science or machine learning roles

Demonstrated experience delivering machine learning models in production

Experience working in cross-functional teams delivering data-driven products

Employment Type

Permanent

Benefits

Equality Statement

Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.

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