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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech Strategist (2026 Roadmap)

Nexus Digital
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to lead our research and development initiatives focused on the 2026 technological landscape. At Nexus Digital, we are not just building today's software; we are architecting the infrastructure for the future. You will be at the forefront of Generative AI, Large Language Models, and autonomous agent systems, ensuring our solutions are robust, scalable, and ready for the next generation of user expectations.

Why Join Us?

As a key player in our tech team, you will have the autonomy to experiment, innovate, and drive high-impact projects. We offer a competitive compensation package, comprehensive benefits, and a collaborative environment that encourages continuous learning.

Responsibilities

  • Architect and deploy scalable machine learning models with a focus on 2026 scalability requirements.
  • Lead the research and implementation of advanced Natural Language Processing (NLP) and generative AI features.
  • Collaborate with cross-functional teams to define product roadmaps and technical strategies.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Stay ahead of industry trends, specifically regarding AGI and autonomous systems.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, preferably with large-scale systems.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of deep learning architectures (Transformers, GNNs, RNNs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to translate complex business problems into technical AI solutions.

Required Skills

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

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