# Senior Machine Learning Engineer (Hybrid/Remote)

**Company:** Besedo
**Department:** R & D
**Role:** Senior Machine Learning Engineer
**Location:** Malta, Romania
**Remote status:** Hybrid

**Who are we?**

**Besedo** is a tech company delivering Trust & Safety solutions to online marketplaces worldwide. Every year, we review and moderate over 500 million pieces of user-generated content and block more than 40 million fraud attempts – helping online platforms stay safe and trusted for millions of users. Besedo has headquarters in **Stockholm (Sweden)** and employs over 350 employees in 5 offices in different countries. Implio is our all-in-one SaaS moderation platform that combines state-of-the-art AI (deep learning, NLP, computer vision) with a powerful user interface for human moderation and powerful analytics. The result is an easy-to-use content moderation solution that enables companies to reduce risks, protect their users and build safer online environments.

Learn more about Implio in this [video](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DKZRU5vzAw3c&data=05%7C02%7Claura.jara%40besedo.com%7C918b047baf194920426108de64d309c3%7C4e2614a999224ad982e022692399b58c%7C0%7C0%7C639059054732231026%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=2dy%2BhueyGCXeDfARYHVL4nhK8yxZ1jEXcnssfO%2BMYW4%3D&reserved=0), and discover more about Besedo on our [website](https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbesedo.com%2F&data=05%7C02%7Claura.jara%40besedo.com%7C918b047baf194920426108de64d309c3%7C4e2614a999224ad982e022692399b58c%7C0%7C0%7C639059054732254172%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=b2%2FY5Lbvx%2BxsO9YzdOgCbT3bb7x8ZgEm%2B2RqcJpaWLU%3D&reserved=0).

**Job description**

We are looking for a **senior-level** AI/ML professional to lead the **productionization, deployment, and continuous optimization** of ML systems in mission-critical environments. This role requires strong technical leadership, deep hands-on experience shipping models to production, and the ability to drive reliability, scalability, and cost/performance trade-offs end-to-end. The ideal candidate combines strong ML depth with **MLOps and production engineering excellence** , and can operate autonomously while influencing architecture and best practices across teams.

**Key Qualifications**

- **Master’s, PhD, or equivalent experience** in Computer Science, Engineering, Data Science (or related), with strong foundations in mathematics, statistics, and ML.

- **6+ years** (or equivalent) experience across ML engineering and MLOps / production ML, with a proven track record delivering **high-impact systems in production**.

- **Demonstrated expertise deploying models to production** : scalable serving patterns, model packaging, inference optimization, observability, and safe rollout strategies.

- Strong experience with **model performance and efficiency optimization** : latency/throughput tuning, batching, quantization, ONNX/TensorRT, GPU/CPU optimization, memory and cost tuning.

- Strong proficiency in **Python**.

- Hands-on experience with ML frameworks such as **PyTorch, scikit-learn** , and optimization/runtime stacks like **ONNX, TensorRT**.

- Strong grasp of **CI/CD for ML** (e.g., GitLab CI), containerization (Docker), and reproducible workflows.

- Experience with **monitoring and reliability** : metrics/logging/tracing, model/data drift, alerting, SLOs, incident response practices.

- **Plus (nice to have):** Kubernetes, AWS, FastAPI (and/or similar Python serving frameworks), SageMaker, service meshes, feature stores, model registries.

**Key Responsibilities**

- **Handle the production lifecycle** of ML systems: training, packaging, deployment, monitoring and controlled rollouts.

- Design, build, and continuously improve **training and retraining pipelines** (data ingestion, labeling/QA loops, feature generation, experiment tracking, reproducibility).

- Build and improve **high-performance inference services** and deployment patterns.

- Drive **inference optimization** (ONNX/TensorRT, quantization, batching, GPU/CPU tuning) with measurable latency/cost improvements.

- Partner with DevOps/SRE to ensure **operational excellence** : scaling, reliability, incident readiness, observability, and alerting.

- Own **model versioning, CI/CD, and release workflows** ensuring reproducibility and safe delivery to production.

- Strengthen **data & model monitoring** (performance, drift, quality) and implement feedback loops for continuous improvement.

- Communicate results and trade-offs to stakeholders, turning technical outcomes into business value.

- Ensure model quality through rigorous evaluation and production-grade validation aligned with evolving data and business needs.

**About this position**  
We also offer a flexible work arrangement that accommodates a hybrid schedule, allowing you to balance your time effectively between home and our office. You will work with a team of talented Machine Learning Engineer DevOps and Developer who are passionate about their work and like to have fun in the process.

**What it’s like working with us?**  
At Besedo, we all come from different cultures and backgrounds, but we share a common set of values:

- We like to get things done ✔️

- We support each other to reach our goals and grow as professionals 🤝

- We love to learn, share and have fun together 🎉

Possibility to work from home  
An opportunity to make a positive impact on the digital world.  
A stimulating and rewarding job in an international, innovative and fast-moving technology company.  
Career development opportunities within the company.  
Comprehensive training and onboarding.  
Fun events, great colleagues and a cool and pleasant workplace.  
Additional annual leave days for every year of tenure.

_This position is no longer accepting applications._