Machine Learning Engineer

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Betsson Group
Munkavégzés helye

Hibrid • Budapest
Profession Prémium

Nézd meg, mennyire felelsz meg ennek az állásnak. Mennyire passzolok?

Egyéb juttatások
- Egészségbiztosítás
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON SPARK CLOUD AWS AZURE MACHINE LEARNING
Biztosított eszközök
- Mobiltelefon
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

Design, implement, and optimize machine learning models to solve complex business problems
Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring
Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems
Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality
Write and maintain high-quality, production-ready code for machine learning models and services
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3-5 years of experience as a Machine Learning Engineer with a strong track record of deploying models in production environments
Proficiency in Python
Proficiency in MLFlow
Proficiency in Spark
Experience with cloud platforms (AWS, GCP, Azure)
Experience with AWS Sagemaker

What we offer

Fitness-wellness allowance
Company mobile phone for private use with 100 GB
Annual HUF devaluation compensation
Hybrid model: 3 days in the office and 2 days from home
Private Health Insurance
Career development
Technical and soft-skill training opportunities
Breakfast, fruits & lunch
Team building events

Company info

Founded in 1963, Betsson Group is a global sports betting and gaming operator focused on customer experience, responsible operations and sustainable growth.