Machine Learning Engineer

Job description

## **The Wow** As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization. ## **A taster of what you will be involved with:** - 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. ## **What we are looking for:** - 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, MLFlow and Spark would be considered an asset. - Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred. - Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights. - Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders. ## ## 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 🏢  & 2 days from home  🏠 - Private Health Insurance  🩺 - Career development  📈 - Technical and soft-skill training opportunities 🎓 - Breakfast, fruits & lunch 🍎 - Team building events  🥳 ## ## ## Challenge accepted? **If you are interested to learn more, please apply with your CV in English.** ***By submitting your application, you understand that your personal data will be processed as set out in our [Privacy Policy](https://betssongroup.com/privacy-notice/)***