Senior Full Stack AI Engineer

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Requirements:

• Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
• Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
• Proven ability to tackle complex problems using data analytics and predictive modeling.
• Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
• Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
• Familiarity with data structures, data modeling, and software architecture principles.

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.