Junior AI Engineer

🔥 3 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟢 Junior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Develop, test, and support the deployment of Artificial Intelligence and Machine Learning solutions • Participate in the Machine Learning model lifecycle, including data preparation, training, evaluation, deployment, and monitoring • Collaborate with multidisciplinary teams to transform business needs into innovative technical solutions • Apply MLOps best practices, pipeline automation, model versioning, and code testing • Explore LLMs, Generative AI, and RAG architectures • Participate in the development of POCs and MVPs to validate and evolve AI solutions • Keep up with Artificial Intelligence and Machine Learning trends • Propose improvements, experiment with new approaches, and share knowledge

🎯 Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field • Hands-on experience with Artificial Intelligence, Machine Learning, or related projects • Knowledge of deploying Machine Learning models in production environments • Proficiency in Python • Knowledge of AWS cloud architecture, including Amazon SageMaker and Amazon Bedrock • Ability to identify, evaluate, and reuse projects and libraries available on GitHub • Experience collaborating with cross-functional teams and translating business needs into technical solutions • Familiarity with agile methodologies and working across multiple projects • Advanced English proficiency is a plus

🏖️ Benefits

• Diversity and multiculturalism are part of everyday life at Keyrus • Opportunities to connect with people from around the world • Exchange of knowledge and ideas • Work on high-quality projects