
Senior/Lead Machine Learning Engineer - IFS - Warsaw, Mazovia, Poland
Machine Learning Engineer
Tap this card for salary charts and full compensation details.
Expand to unlock full salary context
See benchmark placement, pay-band comparison graph, and localized salary narrative.
Job Description
An ML engineer at IFS is part software engineer, part dev ops engineer and ML savvy, who combines knowledge of systems and applications, machine learning and artificial intelligence to build and deploy AI-driven solutions. The work is focused on designing and maintaining high-performance, scalable AI/ML infrastructure, building, and executing ML pipelines efficiently, serving models at scale, and creating the tools for continuous monitoring and improvements. Someone in this role uses their technical know-how to translate high-value and innovative AI opportunities into deployable and sustainable products. ML engineers are well-versed on AI/ML techniques, ranging from statistical learning, computer vision to generative AI. They have strong foundations in software engineering, ML algorithms and mastered several AI/ML serving frameworks. ML engineers work in close collaboration with data scientists, data engineers, architects, and DevOps engineers, on the creation and deployment of highly scalable infrastructure and AI-driven solutions. In addition, ML engineers at IFS continuously expand their knowledge of AI infrastructure, model monitoring/observability and drift detection, functional and business process domain knowledge and share this knowledge to guide others.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 97 |
| Remote | 8 |
| Espoo, Finland | 3 |
| Remote - North America | 2 |
| Remote - Finland | 2 |
| Europe | 1 |
| Remote - EU | 1 |
| Role type | Active listings |
|---|---|
| Account Executive | 7 |
| Sales Executive | 7 |
| Human Resources Specialist | 4 |
| Software Engineer | 4 |
| Product Manager | 4 |
| Cloud Engineer | 3 |
| Strategic Account Executive | 3 |
| Project Manager | 3 |
| Cloud Solution Engineer | 2 |
| Industry Principal | 2 |
| Business Development Representative | 2 |
| Director | 2 |
| Solution Architect | 2 |
| IT Trainer | 2 |
| DevOps Engineer | 2 |
| Solutions Consultant | 2 |
| Business Solutions Architect | 2 |
| Platform Engineer | 2 |
| Presales Consultant | 2 |
| Enterprise Account Executive | 2 |
| System Engineer | 2 |
| Social Media Manager | 1 |
| Key Account Executive | 1 |
| AI Engineer | 1 |
| Aerospace and Defense Marketing Manager | 1 |
| Deployment Engineer | 1 |
| Solutions Consulting Director | 1 |
| Solution Marketing Manager | 1 |
| Customer Success Manager | 1 |
| Architect | 1 |
| Cloud Engineer / Senior Cloud Engineer | 1 |
| Renewals Business Support Specialist | 1 |
| Regional Account Executive | 1 |
| Delivery Director | 1 |
| Business Development | 1 |
| Sales Director | 1 |
| Internal Communications Manager | 1 |
| Undergraduate Trainee | 1 |
| Pre-Sales Consultant | 1 |
| Marketing Campaigns Manager | 1 |
| Solution Marketing | 1 |
| Security Analyst | 1 |
| Engineer | 1 |
| Global Campaigns Specialist | 1 |
| HR Generalist | 1 |
| SaaS Operations Engineer | 1 |
| HubSpot Administrator | 1 |
| Commercial Lead | 1 |
| Account Director | 1 |
| Marketing Campaign | 1 |
| Demand Generation | 1 |
| Data Transformation | 1 |
| Security Operations Center Analyst | 1 |
| ERP Presales | 1 |
| Solution Consultant | 1 |
| Product Designer | 1 |
| Client Services | 1 |
| Industry Leader | 1 |
| Manager | 1 |
| Development Lead | 1 |
| Deal Desk Specialist | 1 |
| Engineering Director | 1 |
| Channel Deal Desk | 1 |
| Vice President, Commercial Operations | 1 |
| Data Scientist | 1 |
| AI Internship | 1 |
| Senior Consultant | 1 |
| Privacy & Data Protection Lead | 1 |
| Payroll Executive | 1 |
| Implementation Consultant | 1 |
| ServiceNow Platform Engineer | 1 |
| Marketing Campaigns Specialist | 1 |
| Consultant | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 80 |
| Senior | 12 |
| Manager | 2 |
| Entry-level | 1 |
IFS appears in 114 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote, and Espoo, Finland.
Data shown is based on historical job postings from our database.
Job Details
Requirements
- Vahva osaaminen Pythonissa ja kokemus relevantteistä kirjastoista (NumPy, Pandas, Kserve, jne.)
- Tietämys lisäkielistä kuten Go, C# tai SQL on plussaa
- Tuttavuutta pilvipalveluiden (Azure), Infrastructure as Code:n (terraform, helm charts), CI/CD:n, Git Ops:n ArgoCD:n ja konttiteknologioiden (Docker, Kubernetes) kanssa
- Perustiedot koneoppimisen käsitteistä, mukaan lukien valvottu ja valvomaton oppiminen, syväoppiminen ja mallin arviointitekniikat
- Dataesikäsittelyn ja ominaisuuksien muokkaamisen osaaminen. Kokemus relaati- ja vektoritietokannoista.
- Erinomaiset analyyttiset taidot, kyky tulkita monimutkaisia tietojoukkoja ja johtaa toimenpiteisiin perustuvia oivalluksia.
- Erinomaiset suulliset ja kirjalliset viestintätaidot, kyky tehdä tehokasta yhteistyötä poikkitoiminnallisten tiimien ja sidosryhmien kanssa
- Kandidaatin tai maisterin tutkinto tietojenkäsittelytieteessä, ohjelmistoinsinööritieteessä, data science -alalla tai vastaavassa, vähintään 3+ vuoden kokemus ohjelmistokehityksestä, mukaan lukien kokemusta AI/ML-kehitysympäristöistä kuten TensorFlow, PyTorch tai scikit-learn.
Education Level
None required