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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Architect - Shaping the Future (2026)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary AI/ML Architect to spearhead the development of next-generation artificial intelligence systems. In this pivotal role, you will define the technical roadmap for our 2026 intelligence platform, ensuring our solutions are scalable, ethical, and revolutionary.

We are looking for a leader who thrives in ambiguity and possesses a deep understanding of the convergence between generative AI, autonomous agents, and cloud infrastructure. If you are passionate about pushing the boundaries of what is possible in technology, we want to hear from you.

Responsibilities

  • Design and architect scalable, high-performance AI models and neural network infrastructures for the 2026 platform roadmap.
  • Lead the research and implementation of cutting-edge deep learning algorithms to improve model accuracy and efficiency.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Establish best practices for model training, deployment, and MLOps to ensure robust production environments.
  • Oversee the integration of AI ethics guidelines and bias mitigation strategies into every layer of the system.
  • Mentor junior engineers and provide technical guidance on complex architectural challenges.

Qualifications

  • Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Proven expertise in Python, TensorFlow, PyTorch, and modern machine learning frameworks.
  • Strong background in distributed systems, cloud computing (AWS/Azure/GCP), and microservices architecture.
  • Experience with large-scale data processing pipelines and big data technologies (Spark, Kafka).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch MLOps Cloud Architecture Distributed Systems AGI Neural Networks

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