Senior AI/ML Engineer – Applied AI Lead (read job details first )
RemoteWarsaw, Mazowieckie, PolandleadFull-time
- Posted
- today
- Source
- LinkedIn (remote, Europe)
- Field
- Engineering, Data & Analytics
Skills
Machine LearningPythonCI/CDSparkSQLAI
Description
Position: Senior AI/ML Engineer – Applied AI Lead
Location: Tallin/Limassol/Warsaw
Work model: On-site
Employment type: Full-time
Salary : 90K Gross per year+Flight ticket + 2 weeks of accommodation
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 production ML engineering experience
- Strong Python + software engineering fundamentals
- Strong ML fundamentals, including evaluation, feature engineering, leakage, drift and stability
- Hands-on Spark / PySpark
- Experience with MLflow or equivalent
- Experience building CI/CD pipelines, preferably GitHub Actions
- Strong SQL + large-scale datasets
- Proven delivery of production AI/ML solutions with measurable business impact
OFFER:
- Attractive remuneration package based on qualifications and experience
- Employee Training & Development programme
- Multiple team and group events
- Birthday and loyalty benefits
- * Attractive remuneration package based on qualifications and experience
- Employee Training & Development programme
- Stebby Sports Compensation or Confido Health Compensation
- Multiple team and group events
- Birthday and loyalty benefits
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