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Information Technology 🏢 Full Time ⭐️ Verified

AI & Machine Learning Engineer

Innovatech Solutions LLC
Austin
Estimated Salary
USD 150.000 – USD 200.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Innovatech Solutions at the forefront of technological evolution as we shape the future of AI-driven solutions. We're seeking visionary AI & Machine Learning Engineers to pioneer breakthrough applications that will redefine industries by 2026. Work in our state-of-the-art Austin facility alongside world-class researchers and engineers to develop scalable ML models, implement neural networks, and create intelligent automation systems that solve tomorrow's challenges today.

Our culture thrives on innovation, continuous learning, and collaborative problem-solving. You'll have access to cutting-edge resources, flexible work arrangements, and opportunities to present at global tech conferences. This role offers significant growth potential as we expand our AI division to meet emerging market demands.

Responsibilities

  • Design and implement scalable machine learning models using TensorFlow, PyTorch, and Scikit-learn
  • Develop AI-powered solutions for predictive analytics, natural language processing, and computer vision applications
  • Collaborate with cross-functional teams to integrate ML models into production systems
  • Conduct A/B testing and performance optimization of AI systems
  • Research and implement state-of-the-art techniques in deep learning and reinforcement learning
  • Maintain and improve existing ML infrastructure while ensuring data security and compliance
  • Document technical specifications and create knowledge-sharing materials for team development

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in machine learning development with proven production deployments
  • Expertise in Python, cloud platforms (AWS/GCP), and containerization technologies
  • Strong understanding of neural networks, deep learning architectures, and optimization algorithms
  • Experience with MLOps tools and CI/CD pipelines for ML systems
  • Demonstrated ability to translate complex business requirements into technical solutions
  • Published research or open-source contributions in AI/ML fields
  • Excellent problem-solving skills and passion for ethical AI development

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP MLOps Neural Networks NLP Computer Vision CI/CD

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