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AI Engineer

RYZ Labs is a startup studio founded in 2021, building industry-defining companies with distributed teams across US and Latam.
Machine Learning
Mid-Level Software Engineer
Remote
11 - 50 Employees
3+ years of experience
AI

Description For AI Engineer

RYZ Labs, a dynamic startup studio founded in 2021, is seeking an AI Engineer to join their innovative team. This role presents an exciting opportunity to work at the forefront of artificial intelligence, developing and implementing cutting-edge solutions that drive business impact.

The position offers a unique blend of technical challenges and collaborative opportunities, where you'll be working with cross-functional teams to build robust, scalable AI systems. As an AI Engineer, you'll be responsible for developing and optimizing machine learning models, writing efficient Python code, and contributing to the entire ML pipeline from conception to deployment.

The ideal candidate will bring strong Python programming skills, deep understanding of machine learning concepts, and excellent communication abilities. You'll be working in a remote-first environment that values autonomy, efficiency, and continuous learning. The company's distributed team structure across the US and Latin America provides exposure to diverse perspectives and approaches.

RYZ Labs stands out with its strong entrepreneurial foundation and focus on building industry-defining companies in a post-pandemic world. The company's values emphasize customer-first mentality, bias for action, ownership, and continuous improvement. You'll be part of a culture that encourages innovation while maintaining high standards of excellence.

This role is perfect for someone who thrives in a fast-paced startup environment, is passionate about AI technology, and wants to make a significant impact. You'll have the opportunity to work with cutting-edge technologies, contribute to meaningful projects, and grow alongside a team of accomplished professionals. The position offers the flexibility of remote work while maintaining strong collaborative relationships with team members across different locations.

Working at RYZ Labs means being part of a company that's building the future of technology across various industries. You'll have the autonomy to own your development process while contributing to a larger mission of creating scalable, resilient applications that solve real-world problems. The company's commitment to learning and growth ensures that you'll constantly be challenged and have opportunities to expand your expertise in AI and machine learning.

Last updated a day ago

Responsibilities For AI Engineer

  • Develop, implement, and optimize AI models and algorithms to address real-world business challenges
  • Collaborate with data scientists, engineers, and product managers to integrate AI capabilities into products and services
  • Write clean, efficient, and well-documented Python code for machine learning pipelines and data processing tasks
  • Continuously evaluate model performance and iterate to improve accuracy and efficiency
  • Stay updated on emerging AI technologies, tools, and best practices, and share knowledge with the team
  • Contribute to technical documentation, code reviews, and team discussions
  • Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders

Requirements For AI Engineer

Python
  • Proficient in Python with hands-on experience in building and deploying machine learning models
  • Solid understanding of core machine learning concepts, algorithms, and data structures
  • Strong written and verbal communication skills to facilitate collaboration and knowledge sharing
  • Ability to work independently in a remote environment and manage multiple priorities effectively
  • Experience with data preprocessing, feature engineering, and evaluation metrics
  • Familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

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