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.
• Proven analytical and problem-solving skills.
• Strong verbal and written communication skills.
• Keen interest in AI/ML trends and best practices.
• Familiarity with data structures, data modeling, and software architecture principles.

Responsibilities:

• Design, build, and maintain efficient machine learning models and full-stack solutions.
• Collaborate with data scientists, software engineers, and product managers to integrate AI models.
• Analyze large datasets and develop predictive models to address client-specific challenges.
• Continuously improve existing systems and algorithms for speed and reliability.
• Utilize cloud platforms to deploy and scale AI solutions.
• Stay updated on AI and machine learning trends.
• Document development processes and present results to stakeholders.