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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the trajectory of artificial intelligence in 2026?

Nexus Horizons is pioneering the next generation of autonomous systems and ethical AI frameworks. We are seeking a visionary Senior AI/ML Engineer to join our elite San Francisco team. In this role, you won't just build models; you will architect the intelligence that will power our enterprise solutions for the decade ahead.

As a leader in the tech space, we prioritize innovation, scalability, and the responsible deployment of AI. If you are passionate about pushing the boundaries of what is possible in Machine Learning and Deep Learning, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable Machine Learning models and algorithms for production environments.
  • Lead the research and implementation of cutting-edge AI architectures, including LLMs and Generative AI.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmaps.
  • Ensure model transparency, fairness, and ethical compliance in all AI applications.
  • Optimize data pipelines and infrastructure to ensure high performance and low latency.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or a related field.
  • Strong proficiency in programming languages such as Python, TensorFlow, PyTorch, and Scikit-learn.
  • Experience with large-scale data processing, MLOps, and cloud platforms (AWS, GCP, or Azure).
  • Advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Proven track record of delivering AI products from concept to deployment.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP SQL Cloud Computing MLOps Agile Agile Scrum

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