Senior AI/ML Engineer

Svitla Systems Inc. is looking for a Senior AI/ML Engineer for a full-time remote position (40 hours per week) in Europe. Our client is building the next generation of identity resolution and marketing intelligence. The platform connects hundreds of millions of consumers across devices, browsers, and channels without relying on cookies to deliver higher open rates, smarter targeting, and measurable revenue lift for modern marketing teams. The company provides AI not as a feature, but as a core execution advantage. They operate large-scale identity graphs, real-time scoring systems, and production ML pipelines that directly impact revenue, deliverability, and customer growth. 

You'll design, build, and deploy production ML systems that sit at the heart of the identity graph and scoring platform. You will work at the intersection of machine learning, graph data, and real-time systems, owning models end to end - from feature engineering and training through deployment, monitoring, and iteration. This role is highly hands-on and impact-driven. You will help define the ML architecture, ship models that operate at sub-second latency, and partner closely with platform engineering to ensure the AI systems scale reliably. 

Occasional travel once per quarter (fully covered trips by client). 

Technology Stack: 

• ML & Data: Python, Pandas, scikit-learn, XGBoost; 

• Graphs: Neo4j (Enterprise, GDS); 

• Cloud: Google Cloud Platform (BigQuery, Vertex AI, Cloud Run, Pub/Sub); 

• Infrastructure: Docker, Kubernetes, GitHub Actions; 

• APIs: FastAPI, REST-based inference services. 

  
  

Requirements:

• 5+ years of experience building and deploying machine learning systems in production.

• Strong knowledge of Python for ML, data processing, and model serving.

• Hands-on experience with feature engineering, model training, and evaluation for real-world datasets.

• Experience deploying ML models via APIs or services (e.g., FastAPI, containers, Kubernetes).

• Solid understanding of data modeling, SQL, and analytical workflows.

• Experience working in a cloud environment (GCP, AWS, or equivalent).

• Experience with graph data, graph databases, or graph-based ML.

Familiarity with Neo4j, Cypher, or graph algorithms (community detection, entity resolution).

Nice to have:

• Experience with XGBoost, tree-based models, or similar classical ML approaches.

• Exposure to real-time or streaming systems (Kafka, Pub/Sub, event-driven architectures).

• Familiarity with MLOps tooling and practices (CI/CD for ML, monitoring, retraining pipelines).

• Familiarity with GPU or large-scale data processing experience (e.g., RAPIDS, CUDA, Spark, or similar).

• Domain experience in identity resolution, marketing technology, or email deliverability.

  
  

Responsibilities:

• Design and deploy production-grade ML models for identity resolution, propensity scoring, deliverability, and personalization.

• Build and maintain feature pipelines across batch and real-time systems (BigQuery, streaming events, graph-derived features).

• Develop and optimize classification models (e.g., XGBoost, logistic regression) with strong handling of class imbalance and noisy labels.

• Integrate ML models directly with graph databases to support real-time inference and identity scoring.

• Own model lifecycle concerns: evaluation, monitoring, drift detection, retraining, and performance reporting.

• Partner with engineering to expose models via low-latency APIs and scalable services.

• Contribute to GPU-accelerated and large-scale data processing efforts as we push graph computation from hours to minutes.

• Help shape ML best practices, tooling, and standards across the team.

  
  

We offer:

• US and EU projects based on advanced technologies.

• Competitive compensation based on skills and experience.

• Regular performance appraisals to support your growth.

• Flexibility in workspace, either remote or our welcoming office.

• Bonuses for article writing, public talks, and other activities.

• Generous time off, including vacation, national holidays, sick leaves, and family days.

• Personalized learning programs tailored to your interests and skill development.

• Free tech webinars and meetups organized by Svitla.

• Regular corporate online activities.

• Awesome team and a friendly, supportive community!