Senior GenAI ML Engineer Remote/Poland

Svitla Systems, Inc.; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible workspace (remote or office)

Competitive compensation

Learning programs

Free tech webinars

Job summary

Svitla Systems Inc. in Poland is seeking an ML Engineer for a full-time role to delivery production GenAI/ML features for ESG risk management. You will collaborate with AI engineers, data engineers, product managers, and architects to deploy AI solutions.

The role requires 4+ years of ML/AI experience, strong Python/SQL, LLM work (RAG, embeddings), and cloud deployment on AWS/Azure, with overlap till 7 PM CET. Flexible workspace enables remote or in-office work.

Qualifications

• 4+ years delivering production AI/ML systems with Python and SQL; strong software engineering basics (testing, CI/CD, code reviews).
• Proven experience building/ deploying LLM apps in production (RAG, embeddings, vector search, model versioning).
• Model training/evaluation with PyTorch/scikit-learn, reproducible pipelines, experiment tracking.

Responsibilities

• Deliver production-ready GenAI/ML features for the supply chain risk management domain.
• Collaborate with AI engineers, Data Engineers, Product Managers, and Architects to bring AI solutions into production.
• Build reliable LLM systems (RAG, multi-agent workflows) with focus on latency, cost efficiency, and trustworthiness.
• Train and fine-tune models using PyTorch and/or TensorFlow, bringing them into production.
• Own model evaluation and rollout, including human-in-the-loop review, A/B testing, and model versioning.
• Operate and monitor AI/ML systems in production, including quality metrics and drift detection.

Skills

Python

SQL

CI/CD

Code reviews

English communication

LLM/GenAI

Model deployment

Tools

Terraform

Docker

FastAPI

PyTorch

Job description

Svitla Systems Inc. in Poland is seeking an ML Engineer for a full-time role to delivery production GenAI/ML features for ESG risk management. You will collaborate with AI engineers, data engineers, product managers, and architects to deploy AI solutions.

The role requires 4+ years of ML/AI experience, strong Python/SQL, LLM work (RAG, embeddings), and cloud deployment on AWS/Azure, with overlap till 7 PM CET. Flexible workspace enables remote or in-office work.