Senior AI/ML Engineer – Applied AI Lead (REF DSR :111)

Cross Border Talents; Warszawa; On-site; PLN 315,000 - 384,000; Full time

Benefits offered by this job

Remuneration package

Employee Training & Development

Team events

Birthday and loyalty benefits

And much more!

Job summary

Cross Border Talents is seeking a Senior AI/ML Engineer – Applied AI Lead to design, deploy and scale machine learning solutions in a production setting. The role emphasizes end-to-end ML lifecycle, robust MLOps, and leadership across AI initiatives in a commercial environment.

You will mentor teammates, collaborate with product and risk teams, and drive measurable business impact through advanced ML techniques and reliable deployment practices.

Qualifications

• 5–8+ years of experience in building and deploying ML models in production environments.
• Strong Python programming skills and solid software engineering fundamentals.
• Strong understanding of ML concepts, model evaluation and feature engineering.
• Practical understanding of production ML considerations including data leakage, drift and model stability.
• Hands-on experience with Spark / PySpark and large-scale data processing.

Responsibilities

• Design, develop and productionise machine learning models across training, validation, deployment, monitoring and retraining.
• Lead AI use cases including client lifetime value, churn prediction and fraud or abuse detection.
• Build and establish robust MLOps practices, including deployment pipelines, CI/CD, environment promotion and model lifecycle management.
• Implement model monitoring frameworks covering performance, data drift, data quality and business impact.
• Establish retraining and escalation strategies for production models.
• Collaborate with Data Engineering on data pipelines, feature engineering, reproducibility and scalable data foundations.

Skills

Python

Spark

PySpark

SQL

MLflow

CI/CD

GitHub Actions

Feature engineering

Model deployment

Communication

Tools

MLflow

GitHub Actions

Spark

Job description

Position: Senior AI/ML Engineer – Applied AI Lead
Location: Tallinn,Estonia
Work model: On-site
Employment type: Full-time
Salary:Up to 80,000 Euros gross yearly + other benefits

DUTIES AND RESPONSIBILITIES:

• Design, develop and productionise machine learning models across training, validation, deployment, monitoring and retraining
• Lead AI use cases including client lifetime value, churn prediction and fraud or abuse detection
• Build and establish robust MLOps practices, including deployment pipelines, CI/CD, environment promotion and model lifecycle management
• Implement model monitoring frameworks covering performance, data drift, data quality and business impact
• Establish retraining and escalation strategies for production models
• Implement model explainability and transparency using SHAP, feature attribution and other appropriate interpretability techniques
• Define and enforce best practices around model governance, documentation, versioning and auditability
• Collaborate with Data Engineering on data pipelines, feature engineering, reproducibility and scalable data foundations
• Partner with Product, Risk, Commercial and other stakeholders to translate business problems into pragmatic AI solutions
• Drive continuous improvement through monitoring insights, feedback loops and model retraining
• Mentor team members and promote best practices in production AI, MLOps and applied machine learning delivery

REQUIREMENTS:

• 5–8+ years of experience building and deploying machine learning models in production environments
• Strong Python programming skills and solid software engineering fundamentals
• Strong understanding of machine learning concepts, model evaluation and feature engineering
• Practical understanding of production ML considerations including data leakage, drift and model stability
• Hands‑on experience with Spark / PySpark and large-scale data processing
• Experience with MLflow or similar ML lifecycle tools
• Experience building and maintaining CI/CD pipelines, preferably with GitHub Actions
• Strong SQL skills and experience working with large, complex datasets
• Proven ability to deliver AI/ML solutions with measurable business impact
• Experience with model deployment, monitoring, drift detection and retraining strategies
• Strong communication skills with both technical and non-technical stakeholders
• Ability to balance MVP delivery speed with production robustness in evolving environments

OFFER:

• Attractive remuneration package based on qualifications and experience
• Employee Training & Development programme
• Multiple team and group events
• Birthday and loyalty benefits
• And much more!