Senior AI/ML Engineer – Applied AI Lead – English Speaker – Hybrid

SpotOn TA Full Time Hybrid Mode, Mazowieckie, Polska, Remote, Warszawa, Work at Home October 9, 2026 - February 24, 2027 AI/ML solutions - CI/CD Pipelines - Engineering Fundamentals - Information Technology - IT - Software Development - Machine Learning - ML lifecycle - MLflow - PySpark - Python - Shared Services Center - Technical Support - Spark - Technical Support

*** This Job Opportunity is only offered for candidates living and eligible to work in Poland.

Client: Financial Services Company.

Hybrid – Warszawa, Poland.

Job Description

As a Senior AI/ML Engineer – Applied AI Lead, you will lead AI use cases including client lifetime value, churn prediction and fraud or abuse detection

Detailed Duties and Responsibilities

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

Targeted Qualifications

• Fluency in English Language, C1 level or higher.
• Attention to detail and problem-solving.
• Practical understanding of production ML considerations including data leakage, drift and model stability
• Experience with model deployment, monitoring, drift detection and retraining strategies
• Min 5–8+ years of experience building and deploying machine learning models in production environments
• Strong SQL skills and experience working with large, complex datasets
• Experience with MLflow or similar ML lifecycle tools
• Experience building and maintaining CI/CD pipelines, preferably with GitHub Actions
• Hands-on experience with Spark / PySpark and large-scale data processing
• Ability to balance MVP delivery speed with production robustness in evolving environments
• Proven ability to deliver AI/ML solutions with measurable business impact
• Strong communication skills with both technical and non-technical stakeholders
• Strong Python programming skills and solid software engineering fundamentals
• Strong understanding of machine learning concepts, model evaluation and feature engineering

Interpersonal Skills

• Communicative, Speak and/or write well and get your ideas across to others easily.
• Interpreter, Look at things and make sense of them, figure what is needed and how to fulfil it.
• Confident, Pleasant, Energetic, Helpful, Trustworthy
• Efficient, Perform tasks in the fastest and simplest ways that they can be done.
• Organized and punctual, put things in order so that they run smoothly and are always on time.
• Flexible, Can carry different responsibilities, sometimes with very little advanced notice.
• Listen, Listen/pay attention to what others are saying, without daydreaming or judging them.
• Precise, Make sure that things are done accurately, correctly, and exactly.
• Willingness to acquire new knowledge.
• Service Customers, be friendly patient, and polite with customers and try your best to service their needs/wants.

Offer \& Benefits

• Hybrid – Warsaw, Poland.
• Employee Training \& Development programme.
• A global team committed to the company values.
• A dynamic work environment in a dynamically international company.

How To Apply

If you are interested in the job and you meet the above criteria you need to:

Kindly send your CV In English to [email protected] while including the Job Title in the subject and the consent statement in your CV.

By sharing your CV with us by email, you are consenting to the following statement.

Please take into consideration that due to the large volume of applicants, we will only contact the shortlisted ones

In the CV, or resume or application, place the following statement:

“I hereby consent to the processing of my personal data for the purpose of current and future recruitment processes through “SpotOn TA Sp. z o.o.” and its clients and partners, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (GDPR) and the Polish Act of 10 May 2018 on the Protection of Personal Data.”