Senior Gen AI/ML Engineer

Job Overview

We are looking for an experienced Senior AI/ML Engineer to join our Generative AI team. You will work on the design and implementation of cutting-edge AI systems-including Retrieval-Augmented Generation (RAG) pipelines, multimodal generative models (GPT, DALL·E, etc.), and their integration into high-load product environments and internal workflows. This role combines hands-on engineering with architectural thinking to scale Gen AI across the company. 

What will you do?

• Design and implement RAG systems with hybrid retrieval (dense/sparse), embeddings, and orchestrated prompt pipelines.
• Architect and deploy LLM-based solutions using open-source and proprietary models (LLaMA, Mistral, GPT-4, Claude).
• Build scalable ML pipelines for batch and real-time inference, retraining, evaluation, and observability.
• Integrate Gen AI models (text, image, multimodal) into core business processes and customer-facing products.
• Collaborate with cross-functional teams-product, engineering, data science, and ops-to deliver AI-powered features.
• Evaluate Gen AI models for performance, cost, scalability, and alignment with company use cases.
• Ensure robust architecture and security practices in deploying AI solutions within existing IT ecosystems.
• Contribute to tooling and platform selection for model deployment, inference orchestration, and data flow automation.
• Document and evolve best practices in Gen AI architecture across the organization.

What are we looking for?

• 5+ years of experience in Machine Learning, including deployment of production-grade AI solutions.
• Expertise in NLP, Transformers, and modern deep learning architectures (RAG, BERT, T5, diffusion models, etc.).
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace, LangChain, etc.).
• Hands-on experience with vector databases (FAISS, Qdrant, Weaviate) and semantic search architectures.
• Proficient with DevOps/MLOps practices and tools: Docker, Kubernetes, CI/CD, monitoring, logging.
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML service stacks.
• Strong architectural thinking with a focus on scalability, performance, and cross-system integration.
• English language proficiency at B2 or higher.

What additional skills will help you stand out?

• Experience deploying multimodal models (e.g. DALL·E, Stable Diffusion, Whisper).
• Familiarity with Gen AI use cases in games, content creation, and enterprise automation.
• Knowledge of ethical AI practices and governance.
• Background in leading small teams or coordinating AI projects end-to-end.

Work mode

Hybrid/Remote (from anywhere within the European time zone)

Benefits

Benefits and perks are tailored to the local market and culture. Our benefits in Berlin include:

• 5 weeks of Annual Leave per calendar year
• Additional paid time off
• Career development and education opportunities within the company
• Home internet reimbursement
• Gym membership through Urban Sports Club - Package M
• Mental well-being program (iFeel)
• Monthly public transportation ticket
• Language classes
• Company pension scheme with a company contribution up to 150 EUR per month
• Personal Gaming Account
• Coffee, fruits, and snacks in the office
• Company events
• Seniority Awards
• Referral program - You can recommend the best talents to the company and receive a reward

Please submit your CV in English to ensure smooth processing and review.

About Wargaming

Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.

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