Senior ML Engineer: AI Infra & Scalable Pipelines

IFS; Warszawa; Hybrid; PLN 60,000 - 80,000; Full time

Job summary

IFS is seeking an experienced ML Engineer in Warsaw, Poland, who will be responsible for designing and maintaining high-performance AI/ML infrastructure. The ideal candidate will have strong programming skills, specifically in Python, and a solid understanding of AI/ML fundamentals.

The role requires collaboration with cross-functional teams to translate AI opportunities into deployable products while fostering an inclusive work environment that supports flexible and hybrid work options.

Qualifications

• Strong proficiency in Python with relevant libraries.
• Familiarity with cloud platforms and CI/CD practices.
• Foundational understanding of machine learning concepts.
• Proficiency in data preprocessing and databases.
• Excellent analytical skills to interpret complex data.
• Strong communication skills for cross-functional collaboration.
• 3+ years of experience in software development and AI/ML frameworks.

Responsibilities

• Designing and maintaining high-performance AI/ML infrastructure.
• Building and executing ML pipelines efficiently.
• Translating AI opportunities into deployable products.
• Collaborating with data scientists and engineers.
• Continuously expanding knowledge of AI infrastructure.

Skills

Programming Skills in Python

Cloud Platforms (Azure)

AI/ML Fundamentals

Data Handling

Analytical Skills

Communication Skills

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Job description

IFS is seeking an experienced ML Engineer in Warsaw, Poland, who will be responsible for designing and maintaining high-performance AI/ML infrastructure. The ideal candidate will have strong programming skills, specifically in Python, and a solid understanding of AI/ML fundamentals.

The role requires collaboration with cross-functional teams to translate AI opportunities into deployable products while fostering an inclusive work environment that supports flexible and hybrid work options.