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Senior AI/ML Engineer (2026 Visionary)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to architect the technological landscape for the year 2026 and beyond. Apex Horizon Systems is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation predictive models and generative AI systems. In this high-impact role, you will not only deploy scalable algorithms but also define the ethical frameworks that guide artificial intelligence in a rapidly evolving digital economy.

Join a team of industry pioneers who are redefining what is possible with machine learning, computer vision, and natural language processing. If you are driven by complexity and eager to build systems that will stand the test of time, we want to hear from you.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines capable of handling petabyte-scale data.
  • Lead the research and development of proprietary AI models tailored for enterprise scalability.
  • Collaborate with cross-functional product teams to translate 2026 strategic roadmaps into technical reality.
  • Optimize model performance, reduce latency, and enhance inference accuracy in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure compliance with data privacy regulations and ethical AI standards in all system deployments.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of professional experience in machine learning engineering and deep learning frameworks.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Proven track record of deploying production-ready models at scale.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with MLOps tools such as Kubernetes, Docker, and MLflow.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes Natural Language Processing SQL

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