infrastructure
Posted Jun 10ML Platform Engineer
at myPOS
Sofia, Bulgaria, BulgariaOn-site
Responsibilities
- Build and maintain MLOps automation end-to-end: CI/CD for models and pipelines, environment management, artifact versioning (models, data, prompts, code), and release governance •
- Implement and operate model serving infrastructure: deployment patterns (blue/green, canary, shadow), endpoint management, scaling, and latency/throughput optimisation •
- Build and maintain training and experimentation infrastructure: job orchestration, compute provisioning, experiment tracking, hyperparameter management, and reproducibility tooling •
- Implement observability for ML systems: data quality checks, feature drift detection, model performance monitoring, bias checks, alerting, and incident response workflows •
- Build and maintain data pipelines for ingestion, transformation, feature engineering, and export across multiple sources and destinations •
- Design and maintain a feature store or feature platform layer: serving consistency, point-in-time correctness, and reuse across teams •
- Expose well-governed datasets, features, and APIs that models, pipelines, and downstream consumers can rely on •
- Enforce secure data handling and compliance with relevant data protection standards, access controls, and audit requirements •
Requirements
- As we are expanding our team, we’re looking for ML Platform Engineer to help us make a real difference in the Fintech industry. Ready to join us and shape the future of payments? Let’s make it happen! About the role:
- As an ML Platform / MLOps Engineer , you will design, build, and operate the infrastructure, tooling, and pipelines that make machine learning reliable at scale.
- You'll sit at the intersection of data engineering, DevOps, and applied ML - owning the platforms and systems that let data scientists and engineers move from experiment to production safely and repeatably.
- Your work will power intelligent products and internal automation across the company, and will help shape how the organisation adopts ML and AI responsibly. What you’ll do: •
- Contribute to documentation, platform standards, and continuous improvement of ML engineering processes across teams
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience) •
- Strong Python skills (typed code, async, testing) and solid SQL fluency. • Hands-on MLOps
- Strong DevOps fundamentals: CI/CD (GitHub Actions, Cloud Build, or similar), IaC (Terraform), containerization (Docker). •
- Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud •
- Experience building and maintaining data pipelines with orchestrators (Airflow/Composer, Dagster) and distributed engines (Spark, BigQuery) •
- Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments •
- experience and ecosystem knowledge: Vertex AI (Model Garden, Pipelines, Endpoints, Experiments, Monitoring), BigQuery, Composer, Dataproc, Cloud Run, Dataplex, Cloud Storage •
- Experience with data governance concepts: access control, retention, data classification, auditability, and compliance standards • Model monitoring
- Experience building and maintaining agentic applications or LLM-powered tools using frameworks such as LangGraph, LlamaIndex, or the Anthropic/OpenAI Agents SDKs •
- Familiarity with MCP (Model Context Protocol) or comparable tool/function-calling protocols for LLM integrations
- Apply by filling in the form below and send your CV in English!
Experience
- 5+ years of Data or ML Engineering experience, with at least 3 years shipping ML systems to production. •
Benefits
- Annual salary reviews, promotions and performance bonuses •
- Refer a friend bonus as we know that working with friends is fun •
- Excellent compensation package •
- 25 days annual paid leave (+1 day per year up to 30) •
- Full “Luxury” package health insurance including dental care and optical glasses •
- Meal vouchers of 102.26 EUR per month •
- Fully covered Multisport card •
- Our mission? It’s simple. Help businesses get paid by taking advantage of modern tech and innovative ideas, so payment challenges are a thing of the past. Pro tip:
Additional details
- At myPOS, we’re all about helping businesses grow and get paid.
- We make payments simple, smart, and accessible for everyone, but we’re more than just payment solutions - myPOS is a partner in growth.
- From free multicurrency accounts to powerful e-commerce tools, we’re here to support business owners of all sizes and everyone out there who dreams of starting their own business.
- experience: model registries, experiment tracking (MLflow or Vertex Experiments), pipeline orchestration, and reproducible training runs. •
- experience: drift detection, data quality issues, performance degradation, bias checks, and alerting strategies •
- Vibrant international team operating in hi-tech environment •
- Unlimited access to courses on LinkedIn Learning •
- Teambuilding, social activities and networks on a multi-national level What we offer: •
- Free coffee, snacks and drinks at the office Who we are:
- Since 2014 we’ve been all about making payments easier and more accessible for businesses of all shapes and sizes.