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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Horizon Solutions is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this pivotal role, you will design and deploy scalable machine learning models that redefine industry standards. You will work with state-of-the-art generative AI frameworks and large language models, ensuring our solutions remain at the cutting edge of innovation.

We are looking for a self-motivated individual who thrives in a fast-paced environment and is passionate about solving complex problems that shape the future.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines for large-scale production environments.
  • Research and prototype novel deep learning architectures tailored to 2026 market needs.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive product innovation.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Optimize models for latency, throughput, and scalability.
  • Stay abreast of the latest AI trends and integrate emerging technologies into our product roadmap.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in machine learning engineering, with a focus on Deep Learning and NLP.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of MLOps practices and model deployment strategies.
  • Excellent communication skills and the ability to translate technical concepts for diverse stakeholders.

Required Skills

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

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