Recruitment.bg is a boutique IT recruitment company. We specialize in connecting top IT professionals with industry-leading employers. Our approach is based on trust, transparency, and long-term partnerships. We go beyond standard recruitment, offering personalized career guidance and support to IT professionals at every step of their journey.
About the Company
Our client is a forward-thinking tech company specializing in online gaming solutions, offering a diverse portfolio that includes casino games, sportsbook services, and a comprehensive gambling platform. Headquartered in Sofia, Bulgaria, the company operates on a global scale, with a presence in 25 countries and products deployed across 85+ jurisdictions. As a leader in innovation within the dynamic iGaming sector, our client is committed to continuous growth and technological advancement. To support its expanding operations, the Platform Department is seeking passionate professionals eager to excel in the exciting world of iGaming.
Your Key Responsibilities
Design, develop, and deploy machine learning algorithms and predictive models to address key business objectives.
Fine-tune and optimize NLP models to align with specific performance and operational goals.
Conduct in-depth research to stay updated with the latest advancements in machine learning and NLP.
Collaborate with data engineers and developers to establish efficient data pipelines and ensure effective feature engineering.
Analyze large, complex datasets to extract actionable insights for model enhancement.
Evaluate model performance and implement iterative improvements for greater accuracy and scalability.
Provide ongoing support and troubleshooting for deployed models to ensure reliability and robustness.
Document methodologies, experiments, and code to facilitate knowledge sharing within the team.
We Are Looking For
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related discipline.
Demonstrated experience as a Data Scientist, with a focus on machine learning and NLP.
Proven expertise in developing and optimizing large language models (LLMs).
Strong programming skills in Python and familiarity with frameworks such as TensorFlow or PyTorch.
Solid understanding of machine learning algorithms, statistical analysis, and data mining techniques.
Proficiency in data visualization tools and methods to effectively communicate insights.
Exceptional problem-solving abilities and the capability to excel in a fast-paced, dynamic environment.
Strong communication and collaboration skills, with the ability to engage effectively with cross-functional teams.
Familiarity with cloud-based machine learning platforms such as AWS, Azure, or Google Cloud.
Experience in the iGaming sector or a similar data-intensive industry is a strong advantage.
Why Join?
Competitive salary with performance-based annual bonuses.
Biannual performance evaluations and salary reviews.
25 days of paid annual leave.
Flexible working hours and the option to work remotely two days a week.
Premium additional health insurance package.
Fully covered annual transportation pass.
Fully paid sports card.
Access to a free company shuttle to the office.
Opportunities to join sports teams and participate in sports events.
Comprehensive professional development opportunities and a supportive work culture.
Access to company-sponsored training programs and tickets to conferences and seminars.
Regular team-building events and office celebrations.
Employee referral program.
Complimentary snacks, drinks, coffee, and fresh fruit available daily.
Special bonuses for birthdays, newborns, and first graders.
Exclusive corporate discounts at various retailers and restaurants.
A state-of-the-art modern office featuring a chill-out zone with amenities such as PS4, table tennis, foosball, and lounge chairs.
This role is ideal for a highly skilled Data Scientist passionate about working with cuttingedge technologies in the ever-evolving iGaming industry. If you are looking to make an impact in a vibrant, collaborative environment, this opportunity awaits.
All applications will be treated as strictly confidential. Only short-listed candidates will be contacted.
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