Machine Learning Engineer

от 2 800 до 4 000 EUR на руки


Требуемый опыт работы: 1–3 года

Полная занятость, полный день

Возможно временное оформление: договор услуг, подряда, ГПХ, самозанятые, ИП is a SaaS platform that delivers pricing infrastructure for freight brokerage companies operating in 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 a ML Engineer, you will be responsible for data products shipped out by the engineering team including a selection of technologies, architecture, development, QA, dev-ops, and performance. Innovation and challenging the status quo are two of our core values. 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.


  • Participate in the process for continuous improvement for Rate Engine by manipulation with different algorithms, experimenting with new features and their encoding, filtering data
  • Responsible for helping with building learning pipelines (import, filter, train, deploy) using Python, TensorFlow, SKLearn, and SQL
  • Scale existing models and optimize performance (RPS, memory consumption)
  • Enable external data from crowdsources and verified/licensed sources into ML model
  • Evaluate existing data models across products and find out outliers and recommend solutions
  • Responsible for customizing models for each customer
  • Leading proof-of-concept projects (prototyping) for new hypotheses
  • Knowledge sharing with team mates
  • Work in Agile concept

Technical Skills

  • 3+ years work experience as a Data Scientist/ML Engineer or similar role
  • Familiar with Python (jupyter notebook, pandas, numpy), and SQL
  • Experience with popular ML frameworks (tensorflow, sklearn)
  • Knowledge of main ML algorithms (NNs, xgboost, random forest, linear regression)
  • Good understanding of developing process from design to deploy
  • Microservices / API based, loosely coupled architecture
  • Git version control
  • Experience in implementing groups and security around data
  • Nice to have experience with DevOps and MLOps process
  • Nice to have experience in containerization (Docker, Kubernetes), designing REST APIs

Soft Skills

  • Good communication skills, with a confident personality
  • Understanding of freight/logistics/supply chain a plus
  • Problem-solving and analytical skills; Able to handle challenging situations and act appropriately
  • Excellent learning skills; must learn and also guide other members of the team on their knowledge
  • Should be a self-starter; Takes responsibility and ownership, and is self-driven
  • Ability to work independently with little supervision as well as the ability to work within a team
  • Commitment to high-quality output and service
  • Language at work English and Russian

Ключевые навыки

Data Mining

Вакансия опубликована 4 февраля 2021 в Москве

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