For one of our Clients — a leading marketplace platform operating at large scale and serving millions of active users monthly — we are looking for an experienced Machine Learning Engineer to join a data-driven, product-focused environment.

The company works with massive datasets and advanced ML solutions to improve product discovery, ranking, and recommendations, with a strong focus on business impact and user experience.

You will work on:

Designing, training, and deploying ranking and recommendation models(e.g. learning-to-rank, collaborative filtering, two-tower recommendation systems)
Building and optimizing NLP models(text classification, information extraction, embeddings)
Integrating and using modern ML libraries and frameworks such as Hugging Face Transformers, LangChain, and LangGraph
Working with large-scale datasets
Optimizing models for effectiveness, scalability, and performance
Monitoring ML models in production, continuous evaluation, and iterative improvement

We are looking for someone who:

Has at least 3 years of experience in building and deploying ML models in production environments
Has hands-on experience with TensorFlow, PyTorch, Scikit-learn, as well as Hugging Face and LangChain
Has strong knowledge of NLP, including transformer architectures (e.g. BERT, MiniLM)
Has worked on recommendation systems, ranking models, and ML optimization driven by business metrics
Works with JavaScript or TypeScript and builds ML solutions compatible with this tech stack
Thinks analytically and can critically assess the business impact of deployed models
Has experience with experimentation and monitoring tools(e.g. MLflow, Neptune, TensorBoard, Prometheus)
Has experience in cloud environments (GCP, AWS, Azure) and understands the basics ofcontainerization (Docker, Kubernetes)
Communicates clearly and can explain complex technical topics to non-technical stakeholders

What we offer:

Long-term cooperation in a stable, product-oriented organization
100% remote work (from Poland)
Work in a product company with real influence on business outcomes
Participation in large-scale, data-intensive projects
Opportunity to grow within ML, recommendation systems, and applied AI

📌 Please note: only selected candidates will be contacted.

Recruitment process is conducted by TQLO Sp. z o.o. Registered Employment Agency (KRAZ): 33580

ML Engineer

TQLO sp. z o.o.