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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2026 Roadmap)

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite engineering team. At Nexus Future Tech, our mission is to architect the technological foundation for the year 2026 and beyond. You will work at the intersection of advanced research and production-grade deployment.

As we scale our infrastructure to handle next-generation data streams, we need a leader who can bridge the gap between theoretical AI models and real-world applications. If you are passionate about the future of Artificial Intelligence and want to shape the roadmap for the next decade, this is the role for you.

Responsibilities

  • Lead the design and implementation of proprietary Machine Learning algorithms focused on predictive analytics.
  • Collaborate with the product team to define the technical roadmap for 2026 and beyond.
  • Optimize existing ML pipelines for speed and efficiency, reducing latency by 40%.
  • Conduct deep research into Large Language Models (LLMs) and generative AI architectures.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.
  • Ensure robust data governance and model explainability across all projects.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of MLOps, Docker, and Kubernetes.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying production-level models at scale.

Required Skills

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

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