Machine Learning Tech Lead
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Summary
Machine Learning Tech Lead at Betsson Group in Budapest: designs and builds the company's ML platforms and frameworks covering the full ML lifecycle (batch and real-time), drives MLOps adoption, and provides technical leadership to data scientists and engineers, primarily on cloud infrastructure (AWS Sagemaker).
- 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
- Bachelor’s degree in computer science, machine learning, artificial intelligence, or a related field
- At least 5 years of experience in the ML field with development of ML solutions and products
- Significant experience in developing cutting edge platforms using cloud (preferably AWS Sagemaker)
- 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
- Excellent communication and leadership skills
- Capability of inspiring teams and translating complex AI concepts into clear business strategies
- Master’s or Ph.D. in AI
- 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 and lunch
- Team building events