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Senior AI/ML Engineer - 2026 Readiness

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to pioneer the next generation of Artificial Intelligence?

Nexus Future Systems is looking for a visionary Senior AI/ML Engineer to architect scalable solutions that will define the technological landscape by 2026. In this high-impact role, you will lead the development of cutting-edge Generative AI models and Large Language Models (LLMs) that drive innovation across our global platforms.

We are not just building software; we are engineering the future. If you possess a deep understanding of neural architectures and a passion for solving complex problems, we want to meet you.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art generative AI models and LLMs using PyTorch and TensorFlow.
  • Performance Optimization: Implement advanced optimization techniques to ensure low-latency inference and high-throughput processing for real-time applications.
  • Research Integration: Stay ahead of the curve by integrating the latest research findings from top-tier conferences (NeurIPS, ICML) into our production pipelines.
  • Model Evaluation: Establish rigorous evaluation frameworks and metrics to measure model performance, fairness, and robustness.
  • Cross-Functional Leadership: Collaborate with product managers, data scientists, and software engineers to translate business requirements into technical AI solutions.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in building and deploying machine learning systems at scale.
  • Technical Skills: Deep expertise in Python, PyTorch, and modern NLP frameworks (Hugging Face, LangChain).
  • Knowledge: Strong understanding of transformer architectures, fine-tuning strategies (PEFT, LoRA), and RAG (Retrieval-Augmented Generation).
  • Problem Solving: Proven track record of tackling complex algorithmic challenges and optimizing model efficiency.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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