Senior/Lead Python Engineer (ML, Infrastructure)

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Требуемый опыт работы: 3–6 лет

Полная занятость, полный день

Возможно временное оформление: договор услуг, подряда, ГПХ, самозанятые, ИП is a SaaS platform that delivers pricing predictions for freight brokerage companies operating in the US truckload spot market. The platform provides target rate, intelligence in buy and sell-side market and business insights to help freight brokers grow and protect their margins. We combine the power of aggregated market data and broker’s historical data with advanced machine learning techniques to deliver short-term predictive freight market pricing specific to your company's individual buying and selling behavior.

As an expert at the intersection of ML, Infrastructure and Business services you will be responsible for core components of the system, proceses around ML research and development pipelines including a selection of technologies, architecture, development, QA, dev-ops, and performance

You will work closely with our US team, Lithuania team, and customers to develop features that help shape the logistics and supply chain industry. You should be passionate about technology and well versed with new technologies and global best practices


  • Design and evolve large-scale data-driven solutions
  • Development of microservices for managing and interacting with machine learning models
  • Development of complex business logic in Python, which is needed to integrate machine learning models into business processes
  • Profiling and optimization of existing solutions (CPU-/memory-bound processes);
  • Work to automate AI/ML pipelines and cover end-to-end model’s lifecycle
  • Build an infrastructure for training models and managing experiments


  • Expert in Python
  • Experience with popular ML frameworks
  • Experience with Docker and Kubernetes, AWS, GCP
  • Experience with PostgreSQL;
  • Practical experience with CICD pipelines and DevOps/DevSecOps engineering
  • Experience in implementing groups and security around data
  • Using Unit Testing in Development

  • Nice to have experience with big data tools (Hadoop, Spark, Kafka, etc.)

  • Nice to have experience with Cython

  • Nice to have experience with C++, Rust, or any other low-level language

  • Nice to have experience with Prefect, GitLab CI/CD, Terraform, Helm, Prometheus,

  • Nice to have experience at least one of the high-level VM languages such as Java, Scala, C#, Golang, Node.js or similar

We offer:
  • Remote work
  • Options in a fast growing startup
  • Salary in Euro

Ключевые навыки

Английский — B1 — Средний
Big Data
Gitlab CI
Machine Learning
Design Patterns

Вакансия опубликована 21 января 2022 в Москве

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