IFS logo

Senior/Lead Machine Learning Engineer - IFS - Warsaw, Mazovia, Poland

Machine Learning Engineer

Posted: June 17, 2026
Posted 22 days ago
Last seen in crawl: July 7, 2026 (1d ago)
Estimated Expiry: July 22, 2026
Role & Management
Role Level:Mid-Level
Job Type
Experience
3 years
Required Languages

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

IFS logo
Technology
Headcount: 7,000
Current open roles at IFS on JobCrawls
LocationActive listings
Remote - Global97
Remote8
Espoo, Finland3
Remote - North America2
Remote - Finland2
Europe1
Remote - EU1
Current role mix at IFS on JobCrawls
Role typeActive listings
Account Executive7
Sales Executive7
Human Resources Specialist4
Software Engineer4
Product Manager4
Cloud Engineer3
Strategic Account Executive3
Project Manager3
Cloud Solution Engineer2
Industry Principal2
Business Development Representative2
Director2
Solution Architect2
IT Trainer2
DevOps Engineer2
Solutions Consultant2
Business Solutions Architect2
Platform Engineer2
Presales Consultant2
Enterprise Account Executive2
System Engineer2
Social Media Manager1
Key Account Executive1
AI Engineer1
Aerospace and Defense Marketing Manager1
Deployment Engineer1
Solutions Consulting Director1
Solution Marketing Manager1
Customer Success Manager1
Architect1
Cloud Engineer / Senior Cloud Engineer1
Renewals Business Support Specialist1
Regional Account Executive1
Delivery Director1
Business Development1
Sales Director1
Internal Communications Manager1
Undergraduate Trainee1
Pre-Sales Consultant1
Marketing Campaigns Manager1
Solution Marketing1
Security Analyst1
Engineer1
Global Campaigns Specialist1
HR Generalist1
SaaS Operations Engineer1
HubSpot Administrator1
Commercial Lead1
Account Director1
Marketing Campaign1
Demand Generation1
Data Transformation1
Security Operations Center Analyst1
ERP Presales1
Solution Consultant1
Product Designer1
Client Services1
Industry Leader1
Manager1
Development Lead1
Deal Desk Specialist1
Engineering Director1
Channel Deal Desk1
Vice President, Commercial Operations1
Data Scientist1
AI Internship1
Senior Consultant1
Privacy & Data Protection Lead1
Payroll Executive1
Implementation Consultant1
ServiceNow Platform Engineer1
Marketing Campaigns Specialist1
Consultant1
Current role-level mix at IFS on JobCrawls
Role levelActive listings
Mid-Level80
Senior12
Manager2
Entry-level1

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
1 day agoContent Complete

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