---
title: Machine Learning Engineer - Production ML at Elinext
description: 🔥 **Machine Learning Engineer - Python / Production ML**
**Elinext** is an international software development company with 25+ years of experience, helping clients worldwide build and scale reliable d
---

# Machine Learning Engineer - Production ML

**Company:** Elinext  
**Location:** Poland / Georgia / Uzbekistan / Kazakhstan / Armenia  
**Posted:** 2026-09-03  
**Apply by:** 2026-10-18

**Tags:** python, data

[Apply / View original posting](https://t.me/Pol_relocation/56964)

## Job description

🔥 **Machine Learning Engineer - Python / Production ML**
**Elinext** is an international software development company with 25+ years of experience, helping clients worldwide build and scale reliable digital products. We work across Fintech, Healthcare, Manufacturing, AI/ML, Cloud, Enterprise Software, and other domains.
We are currently looking for an experienced **Machine Learning Engineer** to join an international project in the financial domain.

📍 **Location:** Poland, Georgia, Uzbekistan, Kazakhstan, Armenia and other eligible locations
🏠 **Format:** Remote
🗣 **Customer interview:** Yes
📝 **Test task:** No

About the role
The main focus is on taking machine learning models beyond the research stage and turning them into **reliable production-grade systems**.
You will work with real financial datasets, deploy and maintain ML services, monitor model performance, improve data pipelines, and collaborate closely with software engineers and data scientists.

Responsibilities
— Develop, deploy, and maintain machine learning models and services
— Keep existing ML solutions performant, stable, and robust
— Turn research prototypes into production-grade ML systems
— Harden code, add tests, logging, monitoring, and observability
— Own model serving, deployment, scaling, and lifecycle management
— Monitor model performance and detect drift
— Build and maintain retraining processes
— Engineer and evaluate features on real financial datasets
— Calibrate and validate models to ensure reliable behavior
— Build and improve data pipelines
— Collaborate with software engineers and data scientists
— Document approaches, experiments, and architecture decisions

MUST HAVE
— Strong software engineering skills in **Python**
— Clean, typed, maintainable, and well-tested code
— Experience with version control and CI/CD
— Strong knowledge of **NumPy, Pandas, scikit-learn, PyTorch**
— Solid understanding of machine learning, statistics, and model evaluation
— Proven experience taking ML models into **production**
— Experience with model serving, monitoring, drift detection, and retraining
— Experience building production APIs and services with **FastAPI, Flask, or similar**
— Experience with **Docker / containerization**
— Experience deploying services on **Kubernetes or similar environments**
— Strong feature engineering experience with structured / tabular data
— Experience working with large datasets and reliable data pipelines
— Strong communication skills with technical and business stakeholders

Nice to Have
— Financial / fintech project experience
— Experience with production MLOps practices
— Experience with highly scalable ML platforms
— Experience with model explainability and reproducibility
— Experience with distributed data processing or cloud environments

💚 What We Offer
— Small-company feel within a fast-growing international environment
— Friendly, collaborative, and mission-driven team
— 25 calendar days of vacation + 5 additional paid sick days
— Medical insurance
— Corporate English courses
— Corporate events and team-building activities
— Support with professional certifications
— Reimbursement for professional courses and training
— Long-term international projects
— Opportunities for professional and technical growth

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