Data Scientist

Junglee Game is hirig for the role of Data Scientist!

Responsibilities of the Candidate:

• Design and implement Generative AI solutions (e.g., LLMs, diffusion models, transformers) for real-world gaming applications, including Fraud Detection, Recommender Systems, Responsible Gaming, Conversational AI (chatbots, virtual assistants) etc
• Collaborate cross-functionally with product, design, and engineering teams to define use cases and integrate GenAI models into live products.
• Fine-tune and optimize large pre-trained models (e.g., GPT, LLaMA, Stable Diffusion) for domain-specific tasks.
• Build robust pipelines for model training, inference, and continuous learning.
• Implement safeguards and ethical constraints to ensure GenAI systems are fair, explainable, and safe.
• Evaluate model performance using both quantitative metrics and real-user impact.
• Stay current with the latest in GenAI research and tooling, bringing innovative approaches to production.

Requirements:

• 1–6 years of experience in machine learning, with at least 1–2 years focused on Generative AI or LLM applications.
• Deep knowledge of transformer architectures, attention mechanisms, and diffusion models.
• Proficiency in Python and GenAI/ML frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI, TensorFlow, PyTorch).
• Experience with fine-tuning LLMs and integrating APIs or open-source models into scalable systems.
• Solid understanding of NLP, prompt engineering, and model evaluation techniques.
• Experience deploying ML models in production environments (REST APIs, microservices, etc.).
• Familiarity with MLOps tools for model versioning, monitoring, and CI/CD.
• Experience with cloud platforms (AWS/GCP) and distributed training/inference.
• Bachelor's or Master’s degree in Computer Science, AI, or a related field.