Senior AI/ML Engineer – Applied AI Lead

The Lemon Consulting; Warszawa; On-site; PLN 77,000 - 99,000; Full time

Benefits offered by this job

Training & Development programme

Team events

Birthday and loyalty benefits

Health/Wellness stipend

Job summary

The Lemon Consulting is seeking a Senior AI/ML Engineer – Applied AI Lead to design, build and productionise machine learning solutions across the full lifecycle. You will lead AI use cases, establish robust MLOps practices and collaborate with Data Engineering to deliver scalable AI products.

The role requires 5–8+ years of production ML experience, strong Python and SQL skills, and hands-on Spark/PySpark with MLflow. On-site work in Warsaw and other locations is supported.

Qualifications

• 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.

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

Skills

Python

Software engineering

ML fundamentals

Spark / PySpark

MLflow

CI/CD

GitHub Actions

SQL

Tools

MLflow

GitHub Actions

Job 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