Betsson Group
iGaming
MachineLearningTechLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Machine Learning Tech Lead at Betsson Group. Skills: Machine Learning, MLOps, Platform development, Technical leadership. Design frameworks for ML Solutions. Design guardrails for ML Solutions”
Industry & Context.
What They're Looking For.
Must Have
5 years of experience in ML Field, Developed ML solutions and products, Significant experience developing cutting edge platforms, Experience enabling seamless evolution and standardized utilization of ML, Demonstrated expertise managing complex Data/AI/ML projects, Delivering results in fast-paced environment, Proficiency in AI technologies, Proficiency in event driven data analytics environments, Proficiency in real time data analytics environments, Proficiency in development of machine learning algorithms, Proficiency in utilization of machine learning algorithms, Proficiency in MLOps, Proficiency in online feature stores, Excellent communication skills, Excellent leadership skills
Nice to Have
Master's or Ph. D. in AI
What You'll Do.
Design frameworks for ML Solutions
Design guardrails for ML Solutions
Develop frameworks for ML Solutions
Develop guardrails for ML Solutions
Stay updated on industry trends
Stay updated on emerging technologies
Stay updated on best practices
Direct exploration of new AI technologies
Direct implementation of new AI technologies
Direct exploration of new AI methodologies
Direct implementation of new AI methodologies
Lead Design of ML platforms
Lead development of ML platforms
Lead Design of ML solutions
Lead development of ML solutions
Address batch solutions
Address real time solutions
Provide technical leadership
Set clear deliverables
Support team to achieve results
Review key technical solutions
Approve key technical solutions
Design framework to leverage ML
Develop framework to leverage ML
Deploy framework to leverage ML
Maintain framework to leverage ML
Design platform to leverage ML
Develop platform to leverage ML
Deploy platform to leverage ML
Maintain platform to leverage ML
Standardize utilization of Machine learning
Oversee machine learning lifecycle
Work closely with data scientists
Work closely with software engineers
Work closely with product managers
Integrate machine learning models into production systems
How You'll Work.
Team & Collaboration
Data scientists; Software engineers; Product managers
Communication Scope
Translating complex AI concepts
Full Job Description
We are seeking an experienced and hands on Tech Leader for our Machine Learning Team. This pivotal role involves the development of our ML framework and platform, develop Machine learning models and support our MLOps initiatives, serving as the Subject matter expert for the area. This position also requires leadership skills to be ahead of project execution and to mentor and grow other team members and help them evolve on the ML subject. The Wow At Betsson, we are dedicated to delivering the best customer experiences in the iGaming industry. As a market leader, we offer online gaming products in multiple markets, driving innovation and excellence across our platforms. Join our passionate team as we build and maintain a cutting-edge, scalable data infrastructure supporting multiple brands and jurisdictions. Your work will directly impact users and contribute to our ongoing success in the competitive market. A taster of what you will be involved with: 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. What we are looking for Bache
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