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Senior AI & Machine Learning Engineer (2026 Visionary)

Apex Innovations
Austin
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technology landscape of 2026 and beyond? Apex Innovations is seeking a visionary Senior AI Engineer to lead our next-generation Generative AI initiatives. You will be at the forefront of building intelligent systems that redefine human-machine interaction.

We are building the infrastructure for tomorrow's intelligence today. As a Senior AI Engineer, you will design, train, and deploy state-of-the-art Large Language Models (LLMs) and neural architectures. If you are passionate about the future of AI and want to work in a high-growth environment, we want to hear from you.

Responsibilities

  • Design and implement scalable Machine Learning pipelines and data processing frameworks.
  • Research and fine-tune state-of-the-art Transformer models (BERT, GPT, LLaMA) for specialized domain applications.
  • Collaborate with cross-functional teams to integrate AI models into production environments using cloud-native architectures (AWS/GCP/Azure).
  • Optimize model inference speed and reduce latency for real-time applications.
  • Conduct rigorous A/B testing and model evaluation to ensure accuracy and reliability.
  • Mentor junior engineers and provide technical guidance on best practices in Deep Learning.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field; equivalent industry experience is a plus.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Extensive experience with NLP techniques, including tokenization, embeddings, and sequence modeling.
  • Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and CI/CD pipelines.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS MLOps Docker Kubernetes

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