Senior ML Engineer
Greenscreens.ai · Anywhere In The World · posted 1 year ago
Revolutionize Logistics as an ML Engineer at Greenscreens.ai
Your Key Responsibilities
- Researching new features to improve prediction accuracy and enhance business outcomes.
- Optimizing the Rate Engine through algorithm refinement, feature experimentation, and data filtering.
- Maintaining and monitoring deployed models to ensure high efficiency and precision.
- Automating machine learning pipelines to streamline workflows.
- Integrating models into company processes through complex Python-based business logic.
- Scaling model performance to meet high demands, focusing on memory and RPS optimization.
What You Bring to the Table
- Technical Expertise: Proficiency in Python, SQL, and Git, along with knowledge of neural networks, time series, and gradient boosting.
- Mathematical Strength: Solid understanding of linear algebra, probability, and optimization techniques.
- Communication Skills: Advanced proficiency in both Russian and English is required to collaborate effectively across teams.
- Experience: At least 3 years in data science or machine learning roles.
Preferred Skills:
- Knowledge of unit testing, AWS S3, Docker, and Kubernetes.
- Participation in competitions like Kaggle or contributions to research papers.
- Experience in logistics and hyperparameter tuning.
Qualifications and Benefits
- Remote Flexibility: Work from anywhere globally, with the option to use our office in Vilnius. However, working from Russia or Belarus is restricted.
- Equity Opportunities: Participate in our options program to share in the startup's growth.
- Health Coverage: Annual private health insurance allowance.
- Paid Time Off: Up to four weeks of fully paid leave per year.
Why Greenscreens.ai?
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