About the role
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.
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