Principal AI/ML Engineer

1 Month ago • 8 Years + • Artificial Intelligence

Job Summary

Job Description

Bragg seeks a Principal AI/ML Engineer to build a world-class AI capability from the ground up. This role involves designing, developing, deploying, and maintaining scalable AI/ML solutions, collaborating with cross-functional teams, and ensuring model performance. Responsibilities include driving AI adoption, identifying opportunities for AI integration, translating product requirements into robust solutions, and contributing to team growth through mentorship and hiring. The ideal candidate possesses 8+ years of experience in developing and scaling ML models in production, strong proficiency in AI/ML programming languages and frameworks, expertise in cloud platforms (e.g., GCP), and a deep understanding of ML algorithms and data engineering principles.
Must have:
  • 8+ years experience in developing and scaling ML models
  • Proficiency in AI/ML programming languages and frameworks
  • Expertise in cloud platforms (e.g., GCP)
  • Deep understanding of ML algorithms and data engineering
Good to have:
  • Experience building AI/ML capability from scratch
  • Experience with GenAI, computer vision
  • Experience with containerization (Docker, Kubernetes)
  • Experience with big data technologies (Spark, Hadoop)
Perks:
  • 30 days annual leave
  • Team building activities
  • Hybrid/Remote work options

Job Details

Are you a passionate and highly skilled Principal AI/ML Engineer eager to make a significant impact from the ground up? We are embarking on an exciting journey to build a world-class AI capability that will directly drive innovation and enhance the performance of our core products. This is a unique opportunity to join a newly formed AI team and play a pivotal role in defining our AI strategy, building our foundational models and systems, and establishing best practices.


As a Principal AI/ML Engineer, you will be instrumental in shaping the direction of our AI initiatives. You'll thrive in an environment where you can leverage your deep expertise to architect, develop, and deploy cutting-edge AI and ML solutions that directly address critical product needs and challenges. Your ability to translate product requirements into robust and scalable AI solutions will be crucial to our success.


This is a hybrid role in our Ljubljana office, or a remote role within the CET +/-1 time zone.


Your responsibilities:

  • Drive AI execution and champion AI adoption across the engineering population by collaborating with cross-functional teams to identify opportunities for AI integration, and fostering a culture of AI innovation.
  • Design, develop, deploy, and maintain high-quality, scalable AI/ML solutions, driving technical excellence in our AI/ML practices and ensuring adherence to best engineering standards.
  • Collaborate with the rest of the AI team and the product teams to understand needs, challenges, KPIs, and data, and translate these into effective AI solutions.
  • Ensure model performance through continuous monitoring, analysis, and improvement based on product evolution and performance data.
  • Evaluate AI technologies by staying abreast of advancements and assessing their potential to benefit our products and strategy.
  • Support AI team’s growth by actively participating in the hiring process, contributing to the onboarding and mentorship of new team members, and fostering a collaborative and knowledge-sharing environment within the AI team.

What you bring to the team: 

  • University degree in Computer Science, ML, AI, Statistics, or a related quantitative field.
  • 8+ years of experience in developing, deploying, and scaling ML models and AI solutions in a production environment.
  • Proven experience collaborating effectively with product and engineering teams.
  • Demonstrated experience in monitoring, analyzing, and improving the performance of ML models in production, and adopting new AI/ML technologies. 
  • Significant experience working with cloud platforms (e.g., GCP) and their AI/ML services.
  • Strong proficiency with AI/ML programming languages, frameworks and libraries (e.g., Python, TensorFlow, PyTorch, scikit-learn).
  • Deep understanding of ML algorithms, statistical modeling, and data analysis techniques.
  • Solid understanding of data engineering principles and experience with data pipelines and data processing tools.
  • Familiarity with MLOps practices and tools (e.g., MLFlow) for CI/CD, and monitoring of ML systems.
  • Excellent understanding of software engineering principles and best practices.
  • Strong problem-solving and analytical skills.
  • Demonstrated ability to drive projects to completion and work independently.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Demonstrated experience in providing technical leadership and guidance to others.
  • Excellent knowledge of written and spoken English.

Bonus points if:

  • You have experience in building AI/ML capability from the ground up.
  • You have experience working on AI/ML solutions that directly impact product KPIs and user experience.
  • You are familiar with a wide range of AI domains beyond classical ML (e.g., GenAI, computer vision).
  • You have experience with containerisation technologies (e.g., Docker, Kubernetes).
  • You have experience with big data technologies (e.g., Spark, Hadoop).

Who are we?

Bragg is a content-driven iGaming technology provider, serving online and land-based gaming operators with casino content, cutting-edge technology, and expert-managed services to deliver a full turnkey solution.


We create high-performing, data-driven, and passionately crafted casino gaming titles, built on Bragg remote games server technology.


Our modern omnichannel Player Account Management platform powers multiple leading iCasino and sportsbook brands and is supported by powerful data analytics tools, as well as Fuze™ – an innovative player engagement toolset.


Our way:

  • We are highly business-oriented, with a strong focus on long-term relationships with our clients,
  • As a team of highly skilled experts, we appreciate genuine relationships and co-worker support,
  • We nurture honest relationships within teams, between teams, and with our business partners,
  • We encourage sports activities, team building, and informal gatherings,
  • We offer plenty of time for family and fun: 30 days of annual leave for every colleague,
  • We stuff the fridge with ice cream.

Did we catch your attention? Become a part of our story – apply now! Not sure if we’re a match? Apply anyway, and let’s find out together!

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About The Company

Bragg Gaming Group (NASDAQ: BRAG, TSX: BRAG) is a content and technology solutions provider to the iGaming industry, serving operators with its proprietary and exclusive content, and its cutting-edge technology. Bragg Studios offer high-performing, data-driven and passionately crafted casino gaming titles from in-house brands including Wild Streak Gaming, Atomic Slot Lab and Indigo Magic. Its proprietary content portfolio is complemented by a range of exclusive titles from carefully selected studio partners which are Powered By Bragg: games built on Bragg remote games server (Bragg RGS) technology, distributed via the Bragg Hub content delivery platform and available exclusively to Bragg’s customers. Bragg’s modern and flexible omnichannel Player Account Management (Bragg PAM) platform powers multiple leading iCasino and sportsbook brands and is supported by expert in-house managed operational and marketing services. All content delivered via the Bragg Hub, whether exclusive or from Bragg’s large, aggregated games portfolio, is managed from a single back-office and is supported by powerful data analytics tools, as well as Bragg’s Fuze™ player engagement toolset. Bragg is licensed or otherwise certified, approved and operational in multiple regulated iCasino markets globally, including in New Jersey, Pennsylvania, Michigan, Connecticut, Ontario, the United Kingdom, the Netherlands, Germany, Sweden, Spain, Italy, Malta and Colombia.

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