AI Software Engineer

4 weeks ago


Austin, Texas, United States Unreal Gigs Full time
Unlock the Power of AI with Unreal Gigs

Are you passionate about building intelligent systems that can learn, adapt, and solve complex problems? Do you thrive on the challenge of creating AI-driven software that pushes the boundaries of what's possible in automation, decision-making, and predictive analytics?

We're looking for an AI Software Engineer to join our team at Unreal Gigs. As an AI Software Engineer, you'll collaborate with data scientists, software engineers, and product teams to design and develop AI-driven applications that leverage machine learning, natural language processing (NLP), and computer vision.

Key Responsibilities:
  • Design and Develop AI Algorithms: Develop, implement, and optimize AI algorithms that solve complex problems.
  • Build Scalable AI Systems: Architect and build AI systems that are scalable, reliable, and maintainable.
  • Data Pipeline Design and Integration: Collaborate with data engineers to build robust data pipelines that feed machine learning models.
  • Model Training and Tuning: Train machine learning models on large datasets, fine-tuning hyperparameters and experimenting with different architectures to improve accuracy.
  • Cross-Functional Collaboration: Work closely with product managers, data scientists, and software engineers to understand business needs and deliver AI-driven solutions that align with product goals.
  • Deploy and Monitor AI Models: Deploy AI models into production environments and set up monitoring systems to track performance, detect drift, and retrain models when needed.
Requirements:
  • AI and Machine Learning Expertise: Strong experience in developing machine learning models, deep learning algorithms, and NLP solutions.
  • Programming and Software Development: Proficiency in programming languages such as Python, R, or Java, with experience in developing production-level AI software.
  • Data Engineering and Pipelines: Expertise in building data pipelines for training and deploying machine learning models.
  • Model Deployment and Integration: Experience deploying AI models into production environments using cloud platforms (AWS, GCP, Azure) or on-premise infrastructure.
  • Collaboration and Communication: Excellent communication skills, with the ability to work across teams and explain complex AI concepts to both technical and non-technical stakeholders.

We offer a comprehensive benefits package, including health and wellness programs, paid time off, and opportunities for professional development and career advancement.



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