Betsson Group

iGaming

MachineLearningTechLead

$18000–27000k ~AI est. Hungary Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

iGaming

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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