Machine Learning Engineer

Sofia Stars is a fast-growing global service provider that guides high-growth businesses to success. Our range of tailored solutions includes R&D, Customer Support, Sales, KYC, Risk, and Anti-Fraud services. We make every connection shine with fresh tech and cultural understanding.

We are looking for a Senior Machine Learning Engineer to join our team. As an early hire, you will work closely with the Head of AI to design, develop, and deploy AI and ML solutions from the ground up. This is a hands-on, high-visibility, and high-impact role that offers tremendous growth potential. You’ll play a pivotal role in shaping the technical foundation of our AI team and delivering real-world solutions in a dynamic, fast-paced environment.

Duties and Responsibilities:

• Develop, train, and fine-tune Machine Learning and Deep Learning models for gaming and CRM use cases;
• Design, build, and maintain data pipelines to ensure reliable, clean, and scalable datasets;
• Collaborate with the Head of AI to transform prototypes into production-ready solutions;
• Contribute to infrastructure setup, including MLOps practices, and implement CI/CD pipelines for machine learning models;
• Work with cross-functional teams, including product and engineering, to integrate AI capabilities into customer-facing applications;
• Document and communicate results clearly, catering to both technical and non-technical stakeholders.

Role Requirements:

• A minimum of 3+ years of experience in Machine Learning, Data Engineering, or Applied AI roles;
• Strong proficiency in Python and machine learning frameworks like PyTorch or TensorFlow;
• Solid experience with data engineering tools (e.g., SQL, Spark, Airflow, or equivalents);
• Hands-on experience with cloud platforms (AWS, GCP, or Azure);
• Proven expertise in deploying ML models in production environments;
• Strong problem-solving skills and the ability to work autonomously in a startup-like environment;
• Excellent communication skills in English.

Nice-to-Have:

• Experience with MLOps tools such as Docker, Kubernetes, MLflow, or Weights & Biases;
• Familiarity with transformers and large language models (LLMs), particularly within the Hugging Face ecosystem;
• Exposure to a variety of data types, including structured (tabular) and unstructured (text, images);
• Previous experience working in the iGaming industry.
   

Our Excellent Benefits:

• Monthly, quarterly, and annual bonuses
• Food vouchers (102 EUR)
• Appreciation gifts (birthday, wedding, newborn, etc.)
• Up to 25 vacation days
• 6 undocumented sick leaves
• Medical insurance and dental coverage
• Sport card 70% coverage (Multisport and/or CoolFit)
• Office massages
• Breakfast, lunch & snacks in the office
• Education budget 
• Monthly team events
• Great office location

Important information:

• This is an office-based position in Sofia, Bulgaria.

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