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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer: 2026 Roadmap

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

Job Description

We are seeking a visionary Senior AI/ML Engineer to spearhead our cutting-edge initiatives for the 2026 roadmap. At Nexus Future Systems, we are building the next generation of intelligent, self-improving agents. You will work at the intersection of deep learning, generative AI, and scalable architecture to define how machines understand and interact with the world.

In this role, you will not just implement existing models; you will push the boundaries of what is possible in 2026 technology, optimizing for latency, accuracy, and ethical AI deployment. Join a team of world-class researchers and engineers dedicated to the future of artificial intelligence.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for production environments.
  • Lead the research and implementation of advanced Generative AI and Large Language Model (LLM) fine-tuning strategies.
  • Optimize model inference speeds and reduce resource costs through quantization and model pruning.
  • Collaborate with product teams to translate complex AI concepts into user-friendly features.
  • Establish best practices for MLOps, monitoring, and automated retraining workflows.
  • Stay ahead of industry trends to integrate emerging 2026 technologies into our core stack.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field (or equivalent experience).
  • 5+ years of professional experience in AI/ML, with a focus on Deep Learning and NLP.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of Transformer architectures and attention mechanisms.
  • Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) systems.
  • Proven track record of shipping high-performance models to production.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI MLOps AWS GCP Docker Kubernetes

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