About the Position

We are seeking an ML Engineer with 3+ years of industry experience in applied ML or data science to join our team in Poland, focusing on developing advanced endpoint threat detection models.

Responsibilities

Design, train, and evaluate ML classifiers (binary and multi-class) on CPU PMC telemetry datasets targeting ransomware, cryptomining, fileless malware, and related threat categories.
Perform feature engineering on raw hardware performance counter data to extract discriminative threat signatures.
Implement evaluation frameworks measuring detection rate, false-positive rate, and inference latency on target GPU/NPU hardware.
Expand and validate training datasets across malware variants; iteratively improve model coverage and accuracy.
Optimize model architectures for inference on AMD integrated GPU and NPU hardware, balancing accuracy against strict CPU overhead targets.
Export models to production-compatible inference formats and collaborate with real-time developers for pipeline integration.
Document model architecture decisions, training-data provenance, evaluation metrics, and known limitations.
Maintain version control and reproducibility for all training pipelines and model artifacts.

Requirements

Must have
- 3+ years of industry experience in applied ML or data science.
- Proficiency in Python; strong hands-on experience with PyTorch, TensorFlow, or scikit-learn.
- Experience with binary or multi-class classification on tabular or time-series data.
- Solid understanding of model evaluation: cross-validation, precision/recall, F1, ROC-AUC.
- Understanding of model optimization for inference: quantization, pruning, ONNX export.
Nice to have
- Experience with anomaly detection or one-class classification methods.
- Background in cybersecurity, malware analysis, or endpoint threat detection.
- Familiarity with hardware performance counters or systems-level telemetry as ML input features.
- Experience training models for deployment on GPU or NPU accelerators with constrained compute budgets.

We Offer

Relocation options
Experience in an international environment
Cross-cultural experience
Feedback culture
Regular appraisals
Annual holiday - 20 or 26 days (depending on seniority)
Occasional leave - 1 or 2 days (depending on circumstances)
Child care leave - 2 days or 16 hours per year
Absence due to force majeure - 2 days or 16 hours per year
Maternity Leave - 20 weeks
Parental Leave - 41 weeks
Paternity Leave - 14 days
Expert-led tech courses
Internal instructor-led soft skills courses
Comprehensive in-house self-learning resources
Access to external self-learning libraries
Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
Custom Learning Programs: upskilling, reskilling, technical mentorship
Leadership Programs for Managers
Multisport card
LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
One Team Program: Buddy for each New Joiner; seminars, meeting, and workplace space to support integration with local community and culture; “Hire me” workshops for partners
Preferential banking offer
Preferential car leasing offer
Cafeteria program discounts
Luxoft Social Benefit Fund: sport and recreation benefits
Private Healthcare Insurance with unlimited access to specialists
Full dental support
Travel Insurance
Possibility to add private healthcare coverage for family members at the corporate rate
Life insurance at the corporate rate for employees and family members
Reimbursement for corrective glasses

About the Company

Luxoft is a global IT services company that specializes in software development, digital transformation, and consulting services. We are committed to delivering innovative solutions to our clients and fostering a culture of continuous learning and professional growth.

Languages

English: B2 Upper Intermediate

Employment Type

FULL_TIME

Experience Level

Senior

Location

Remote Poland, Poland

Date Posted

2026-10-01 00:00:00

Requisition Number

VR-123611

ML Engineer

Job description