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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer (AI & Future Tech)

Nexus Horizon
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the intelligent systems that will define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior Machine Learning Engineer to spearhead our next-generation AI initiatives. We are building the infrastructure for a future where human and machine intelligence converge seamlessly. In this role, you will not just write code; you will shape the ethical frameworks and scalable architectures that power the industry for years to come. Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Design and deploy scalable deep learning architectures capable of processing exabyte-scale data streams.
  • Lead the research and implementation of cutting-edge predictive models for 2026 readiness.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Optimize model inference and training pipelines to reduce latency and maximize efficiency.
  • Define technical roadmaps and mentor junior engineers in best practices for AI engineering.
  • Ensure robust data governance, security, and ethical AI compliance standards.
  • Conduct A/B testing and performance analysis to drive continuous product iteration.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in building production-grade ML systems.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with large-scale data processing (Spark, Hadoop, or Kafka).
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in fast-paced, agile environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS Kubernetes Agile Data Engineering

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