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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Austin, TX

FutureScale Inc.
Austin
Estimated Salary
USD 140.000 – USD 180.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to lead our next-generation machine learning initiatives. At FutureScale Inc., we are at the forefront of integrating cutting-edge Artificial Intelligence into enterprise solutions. You will be responsible for designing, developing, and deploying robust AI models that drive business intelligence and automation.


If you are passionate about the future of technology and possess deep expertise in AI architecture, we want to hear from you. Join a team that values innovation, ethical AI, and high-performance engineering.


Why Join Us?
• Competitive salary and equity package.
• Remote-first culture with flexible hours.
• Access to the latest hardware and cloud resources.
• Professional development and learning stipend.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep learning architectures using Python and modern frameworks like PyTorch and TensorFlow.
  • Collaborate with data scientists and product managers to define AI requirements and translate business needs into technical solutions.
  • Optimize AI models for inference speed, accuracy, and resource efficiency in production environments.
  • Maintain and improve existing data pipelines and data processing workflows.
  • Conduct code reviews and mentor junior engineers to ensure code quality and best practices.
  • Stay abreast of the latest advancements in AI research and apply them to our product roadmap.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in AI, Machine Learning, or Data Science.
  • Strong proficiency in Python, SQL, and experience with cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of neural networks, NLP, and computer vision.
  • Experience with MLOps tools and deployment strategies.
  • Excellent problem-solving skills and the ability to work in a fast-paced agile environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS GCP MLOps Agile SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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