Gen Ai/Ml Engineer

Summary

Join Wargaming as a Gen AI/ML Engineer and design, develop, and implement AI-driven solutions using generative models. You will work with large language models (LLMs), generative adversarial networks (GANs), and other advanced AI frameworks to solve complex business challenges. Responsibilities include building, fine-tuning, and deploying generative AI models, optimizing models for various tasks, and integrating AI solutions into existing systems. You will also curate datasets, ensure data quality and compliance, and stay updated on advancements in generative AI. This role requires collaboration with cross-functional teams and meticulous documentation of processes and performance. The position offers a competitive benefits package tailored to the local market.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field
• Experience fine-tuning and deploying LLMs for specific use cases
• Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Knowledge of NLP, computer vision, or reinforcement learning
• Strong understanding of LLMs (e.g., GPT, LLaMA), diffusion models (e.g., Stable Diffusion), or GANs
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes
• Knowledge of MLOps tools (e.g., MLflow, DVC) for streamlined development workflows
• Advanced English level

Responsibilities

• Build, fine-tune, and deploy generative AI models (e.g., LLMs, GANs) to solve business problems
• Optimize generative models for various tasks, including natural language generation, image synthesis, and content creation
• Modify existing models to meet specific project requirements
• Work with frameworks like TensorFlow, PyTorch, or Hugging Face to build and deploy scalable solutions
• Curate, preprocess, and annotate datasets for model training and validation
• Ensure data quality, compliance, and security throughout the development process
• Integrate AI solutions into existing systems and workflows
• Optimize computational costs and scalability of deployed solutions
• Stay up-to-date with advancements in generative AI, including transformers, multimodal models, and reinforcement learning
• Experiment with new techniques to improve existing solutions or develop innovative applications
• Work closely with cross-functional teams
• Document development processes, model architectures, and system performance for future reference

Benefits

• Career development and education opportunities within the company
• Premium Private Health Care
• Mental well-being program (iFeel)
• Multisport card
• Remote work
• Personal Gaming Account
• Company events
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward