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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? Apex Dynamics is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation large language models and predictive algorithms. We are on a mission to revolutionize the enterprise sector with cutting-edge technology.

In this pivotal role, you will bridge the gap between theoretical research and production-grade software. You will work in a high-performance environment where your code directly impacts millions of users. We offer a competitive salary, equity packages, and the opportunity to work with the brightest minds in the industry.

Responsibilities

  • Architect & Deploy: Design, train, and deploy scalable machine learning models with a focus on production performance and latency.
  • LLM Development: Lead the implementation and fine-tuning of Large Language Models (LLMs) to solve complex business problems.
  • MLOps Pipeline: Build and maintain robust MLOps pipelines to ensure seamless model lifecycle management, monitoring, and retraining.
  • Collaboration: Partner with data scientists, backend engineers, and product managers to define technical requirements and deliver innovative solutions.
  • Optimization: Continuously monitor model accuracy and efficiency, implementing best practices to reduce costs and improve inference speed.
  • Mentorship: Mentor junior engineers and provide technical guidance on coding standards, architecture, and AI best practices.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: Minimum of 5+ years of professional experience in machine learning and software engineering.
  • Languages: Proficiency in Python and deep familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Cloud & Infrastructure: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Technical Depth: Solid understanding of deep learning architectures, NLP, and distributed systems.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS GCP Docker Kubernetes MLOps Generative AI

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