Location
In office
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Talent acquisition agency founded by entrepreneurs with over 15 years of experience. Our services include recruitment, headhunting and talent acquisition.
Our client is one of the largest retail and tourism groups operating in 20+ countries across Europe. The
company provides a wide range of products and services, including food products, groceries, and gardening supplies, as well as hospitality, travel, and tourism services. They utilize a broad distribution network to reach their customers, which includes both physical retail outlets and online platforms.
They are currently seeking a Machine Learning Engineer to join their IT hub in Sofia.
Job Responsibilities
- Working with data related to logistics and delivery
- Using sufficient database and up-to-date libraries
- Crafting prediction models
- Tailoring algorithms for delivery and time-optimization
- Endeavoring within an International Working Environment
Job Requirements
- 4+ years of experience in the field with ML models in production
- Fundamental Machine Learning knowledge (ML libraries, feature engineering, model updates, etc.)
- Expert knowledge in Software Development (Python, Java or Kotlin)
- Strong knowledge of SQL
- Prior experience with GitHub, CI/CD, and Docker
- Prior experience with a scheduling tool (i.e. Airflow)
Preferred
- Knowledge of Snowflake, RAY
- Previous experience with GCP / BigQuery / VertexAI
- Previous experience with TensorFlow or PyTorch
- Experience with projects, related to logistics and warehouses
- Comfortable working within an Agile/Scrum environment
Company Benefits
- 25 days paid vacation
- Additional health and life insurance, transport allowance, and sports card
- Flexible working
- Personal educational budget
- Regular technical training
- Foreign language classes
- International training
- Library (physical books and online materials)
- Hackathons
- Recreation area at the office including table tennis, football, PlayStation, billiard, and chess
- Parking space
- Snacks, fruit, and beverages at the office
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