Responsibilities
- Design and develop the frameworks and guardrails for the ML Solutions and products
- Stay updated on industry trends, emerging technologies, and best practices to inform strategy development and ensure competitiveness
- Direct the exploration and implementation of new AI technologies and methodologies, including MLOps
- Lead the Design and development of Betsson’s ML platforms and solutions, addressing both batch and real-time solutions
- Provide technical leadership, setting clear deliverables and supporting team to achieve the results
- Responsible for review and approval of key technical solutions
- Design, develop, deploy and maintain a framework and a platform to leverage and standardize the utilization of Machine learning across the company
- 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
Requirements
- Bachelor’s in computer science, Machine Learning, Artificial Intelligence, or a related field
- At least 5 years of experience in the ML Field, have developed ML solutions and products, with significant experience in developing cutting edge platforms using Cloud (preferably AWS Sagemaker) to enable seamless evolution and standardized utilization of the Machine Learning by organization
- Demonstrated expertise in managing complex Data/AI/ML projects and delivering results in a fast-paced environment
- Proficiency in AI technologies, event driven and real time data analytics environments, development and utilization of machine learning algorithms, MLOps and online feature stores for real time low latency applications
- Stay abreast of emerging trends and technologies in the AI and ML space to proactively implement improvements, suggest innovative ways and ensuring Betsson remains at the forefront of innovation in this dynamic field
- Excellent communication and leadership skills, capable of inspiring teams and translating complex AI concepts into clear business strategies to be communicated to different stakeholders at different levels of seniority and skills
Nice to Have
- Master’s or Ph.D. in AI would be considered a plus
Benefits
- 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 🥳
Work Arrangement
Hybrid
Additional Information
- Hybrid model: 3 days in the office & 2 days from home
