
10.000+ funcionários
Fundada em 1998
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
Keywords Studios é o principal provedor global de serviços para games, oferecendo uma plataforma end-to-end potencializada por tecnologia. A empresa entrega soluções técnicas e criativas para a indústria global de videogames, com serviços que incluem desenvolvimento de jogos, serviços de arte, desenvolvimento de áudio, testes de QA, localização, serviços de marketing e engajamento de jogadores. A Keywords Studios também atua com serviços de acessibilidade, globalização de conteúdo e soluções avançadas de IA e tecnologia. Fundamentada em décadas de experiência, a empresa é comprometida com práticas de negócios responsáveis e fornece insights para todo o setor, possibilitando experiências incomparáveis para audiências no mundo inteiro.
🕒 Maio 15
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
Fundada em 1998
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
Keywords Studios é o principal provedor global de serviços para games, oferecendo uma plataforma end-to-end potencializada por tecnologia. A empresa entrega soluções técnicas e criativas para a indústria global de videogames, com serviços que incluem desenvolvimento de jogos, serviços de arte, desenvolvimento de áudio, testes de QA, localização, serviços de marketing e engajamento de jogadores. A Keywords Studios também atua com serviços de acessibilidade, globalização de conteúdo e soluções avançadas de IA e tecnologia. Fundamentada em décadas de experiência, a empresa é comprometida com práticas de negócios responsáveis e fornece insights para todo o setor, possibilitando experiências incomparáveis para audiências no mundo inteiro.
• Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational Al. • Build context-aware, autonomous AI agents using modern frameworks to solve complex business logic and automate workflows. • Collaborate with data engineers to preprocess and curate large datasets for training and testing models. • Experiment with state-of-the-art machine learning algorithms and fine-tune foundation models for production. • Build and deploy scalable, production-ready AI pipelines. • Analyze and optimize the performance of AI models to meet business requirements. • Stay updated with the latest advancements in GenAI, LLMs, and agentic systems, and propose innovative solutions to enhance products.
• Education: Bachelor's or Master's degree or PhD. in Computer Science, Data Science, or a related field. • Experience: 3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations. • Technical Skills: • ○ Strong proficiency in Python and experience with advanced AI/LLM ecosystem libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA, or DSPy). • ○ Experience in building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production. • ○ Strong expertise in building applications using LLMs (e.g., Gemini, GPT-4, Claude) and modern orchestration frameworks like LangChain or LlamaIndex. • ○ Hands-on experience with modern developer tools, including the Google AI SDK and OpenAI SDK, N8N. • ○ Deep understanding of AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) and how to orchestrate multi-agent systems. • ○ Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, and modern backend-as-a-service platforms like Supabase. • ○ Knowledge of the Model Context Protocol (MCP) to securely connect AI models with external data sources and tools. • ○ Experience in developing and fine-tuning deep learning models using TensorFlow or PyTorch. • ○ Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying ML models. • Soft Skills: • ○ Strong problem-solving abilities and analytical mindset. • ○ Excellent communication skills to convey complex ideas effectively. • ○ Ability to work collaboratively in a team-oriented environment. • Preferred Qualifications • ● Knowledge about advanced prompt engineering techniques (e.g., Few-Shot, • Chain-of-Thought, ReAct) is a strong good-to-have. • ● Experience with fine-tuning large language models (LLMs) for domain-specific tasks. • ● Exposure to multimodal learning (integrating vision and language models). • ● Knowledge of LLMOps/MLOps practices, including containerization and CI/CD pipelines. • ● Publications or contributions to open-source projects in modern AI domains.
• Competitive salary and performance bonuses. • Opportunity to work on exciting, cutting-edge projects. • Flexible working hours and a collaborative environment. • Professional growth opportunities through training and mentorship. • Health insurance, Learning budgets, etc. • MacBook for effective work and productivity. • Disconnect Week during Christmas to new year.
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