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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Future Systems
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite engineering team at Apex Future Systems. As we pioneer the next generation of intelligent applications, you will be at the forefront of developing scalable machine learning models and generative AI solutions that redefine user experiences.

In this role, you will bridge the gap between cutting-edge research and production-grade deployment, ensuring our AI systems are robust, efficient, and ethical. If you are passionate about the future of technology and want to build systems that matter, we want to hear from you.

Responsibilities

  • Design, train, and deploy complex machine learning models and deep learning architectures.
  • Optimize existing AI models for speed, accuracy, and scalability in high-traffic environments.
  • Lead the research and implementation of Generative AI and Large Language Model (LLM) applications.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers.
  • Establish and enforce best practices for data privacy, security, and model explainability.
  • Drive the end-to-end MLOps pipeline, from experimentation to continuous integration/deployment.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a fast-paced startup or tech giant environment.
  • Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to mentor junior engineers and contribute to technical roadmaps.

Required Skills

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

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