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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join Nexus Future Systems, a pioneer in next-generation intelligent automation. As we prepare for the technological landscape of 2026, you will be at the forefront of designing scalable, ethical, and high-impact machine learning systems that redefine user experiences. This is a rare opportunity to shape the architecture of the future while working with state-of-the-art tools.

Why Join Us?
We offer a competitive salary, comprehensive health benefits, and the chance to work on projects that will influence the global tech ecosystem. Our culture values innovation, transparency, and continuous learning.

Responsibilities

  • Design, develop, and deploy end-to-end machine learning models and pipelines for production environments.
  • Collaborate with product managers and engineers to translate complex business requirements into technical solutions.
  • Research and implement cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Optimize data infrastructure and model performance for speed, scalability, and cost-efficiency.
  • Ensure ethical AI practices by auditing models for bias and transparency.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of neural network architectures, hyperparameter tuning, and MLOps.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

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

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