Senior ML Engineer

As an ML Engineer at Greenscreens.ai, you will play a crucial role in advancing logistics technology by developing and optimizing ML models that address new business challenges. You will be responsible for ensuring the efficiency and accuracy of our deployed models, scaling their performance, and automating ML pipelines. Your work will involve building and managing the infrastructure for training models, conducting research, and applying findings directly to improve client solutions. Additionally, you will enhance our predictive models, explore new features to refine predictions, and integrate complex business logic into our processes. Your contributions will shape the future of our ML-based solutions and drive innovation in the logistics industry.

Greenscreens.ai, a pioneering SaaS provider, offers cutting-edge, ML-based predictive freight pricing solutions that are reshaping the Logistics Service Provider market. Launched in 2020, we’ve rapidly achieved triple-digit growth, a testament to our disruptive impact and value delivery within the U.S. freight brokerage sector. Our accolades include winning the inaugural TIA Shark Tank competition at the 2022 Technovations conference and being named a Top Tech Startup at Manifest – Future of Logistics 2023. Backed by leading investors including Tiger Global, and amidst rapid expansion, Greenscreens.ai invites you to join our trailblazing team on a path of innovation and market transformation. Learn more about our journey and product at https://www.greenscreens.ai/ .

• Research and identify new business features to enhance prediction accuracy
• Enhance Rate Engine through algorithm manipulation, feature experimentation, and research to optimize data filtering and predictive model quality.
• Monitor and maintain deployed ML models, ensuring accuracy and efficiency
• Automate ML pipelines and manage the entire model lifecycle.
• Develop complex business logic in Python to integrate models into a company's processes.
• Scale and optimize the performance of existing models (RPS, memory consumption)
• The primary focus of your work will be on tabular data

• 3+ years of experience as a Data Scientist, ML Engineer, or in a similar role.
• Python, SQL,Git
• Neural networks, time series, gradient boosting, and random forest.
• Linear algebra, probability, statistics, optimization
• Upper-intermediate English and Russian proficiency for effective communication in the teams.
• Advanced proficiency in both Russian and English is required—no exceptions.

Desirable Technical skills

• Unit testing
• AWS S3, Docker, Kubernetes
• Experience in logistics
• Active engagement with industry articles and research papers
• Participation in competitions (e.g., Kaggle)
• Hyperparameter tuning methods
• Anomaly detection

• Remote Work: Enjoy the flexibility to work from anywhere globally or at our office in Vilnius. However, please note that there are restrictions on working from Russia and Belarus.
• Options Program: Join our options program, providing you with the opportunity to partake in the growth and success of our startup.
• Paid English courses