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Full Stack AI Engineer
hace 4 meses
About Creai
At Creai, we specialize in harnessing the power of artificial intelligence and machine learning to drive business transformation. Our mission is to help clients reduce costs, increase efficiency, and unlock new opportunities by leveraging cutting-edge AI solutions. We're snowballing and are looking for talented engineers to join our team and shape the future of AI-driven innovation.
Why This Role Matters
As a Full Stack Software Engineer for AI, you will play a critical role in developing scalable machine learning systems that directly impact the success of our clients. You will collaborate with cross-functional teams to build, deploy, and maintain AI solutions that solve complex problems and deliver tangible results. Your contributions will help Creai remain at the forefront of AI technology.
Responsibilities
- Develop Scalable AI Solutions: Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
- Cross-functional collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
- Data Analysis & Model Building: Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
- Optimize Performance: Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
- Cloud Services Integration: Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
- Stay on the Cutting Edge: Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
- Documentation & Communication: Document development processes and present technical results to technical and non-technical stakeholders.
Requirements
- Strong Technical Expertise: Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
- Cloud Experience: Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
- Analytical & Problem-Solving Skills: Proven ability to tackle complex problems using data analytics and predictive modeling.
- Collaboration & Communication: Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
- AI/ML Enthusiast: Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
- Software Architecture Knowledge: Familiarity with data structures, data modeling, and software architecture principles.
Work from Anywhere
We offer full remote flexibility You can work from anywhere worldwide as long as you're available to collaborate during our core hours from 9 AM to 5 PM CST.
Perks & Benefits
We offer unlimited PTO, trusting you to manage your time effectively and take the time off you need.
You will receive health insurance, valid for employees in Mexico.
We provide a budget to help you set up your ideal remote workspace.
We encourage you to apply
We know that women and underrepresented minorities often hesitate to apply if they don't meet 100% of the qualifications. We strongly encourage you to apply even if you don't meet all the listed requirements—your unique experience and perspective are valued
