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Consensys
Senior AI DevOps Engineer
8 months ago | 438 views | 9 applications

Senior AI DevOps Engineer

Full-time
Remote
Per year
$150,000 To $255,000

About the company

ConsenSys is a market-leading blockchain technology company. From developer tools to enterprise solutions, ConsenSys is building Ethereum blockchain infrastructure and applications for new economic systems that are more open, efficient, and secure. ConsenSys is the leading Ethereum software company.

Job Summary

What you’ll do

📍Stay current on AI knowledge, trends, technologies, and regulations. 📍Ensure Consensys teams have the right AI tools and technologies for their needs. 📍Develop AI solutions to help developer workflows and productivity. 📍Collaborate with cross-functional stakeholders to understand requirements and transform AI-driven prototypes into scalable solutions. 📍Engage with foundational technologies for AI and web3. 📍Enable and support product teams to build AI product features. 📍On a daily basis you will be part of an agile, multinational and multiregional scrum team delivering high standard production software

Would be great if you brought this to the role

📍Ability to work well in a remote team using initiative and organization 📍Collaborative by nature; willing to give and receive feedback 📍Good verbal and written communication skills in 📍English to engage with your team and stakeholders effectively 📍Willingness to constantly learn and improve, challenging yourself to stay at the top of your game 📍Comfortable operating in an Agile environment and dealing with uncertainty, ambiguity and changing priorities 📍Ability to bring back any learning and advocate for or implement improvements to troubleshooting documentation or software 📍Tertiary qualification in Computer Science or related discipline 📍Experience in front end development using javascript, python, or other high-level languages
📍Experience designing, implementing, and deploying AI solutions using AI frameworks, SDKs, and APIs 📍Knowledge of training and fine-tuning LLMs to achieve optimal performance. 📍Experience building machine learning models. 📍Experience using Azure (preferred) or AWS AI services.

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