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Information Technology 🏒 Full Time ⭐️ Verified

AI & Machine Learning Architect

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

Job Description

We are 2026, a visionary technology firm building the infrastructure for the future. We are looking for a visionary AI & Machine Learning Architect to lead our R&D division. In this role, you will define the architectural vision for our next-generation neural networks and predictive platforms, ensuring scalability, security, and innovation that defines the year 2026 and beyond. If you are passionate about pushing the boundaries of AI and want to shape the technology landscape of tomorrow, we want to meet you.

Responsibilities

  • Architect and design scalable, high-performance AI systems and machine learning pipelines.
  • Lead the research and implementation of cutting-edge algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate business requirements into technical solutions.
  • Mentor junior engineers and establish best practices for code quality, testing, and deployment in a cloud-native environment.
  • Evaluate and integrate emerging technologies and frameworks to maintain a competitive edge.
  • Oversee the deployment of models into production environments, ensuring high availability and low latency.
  • Conduct technical due diligence for new projects and strategic partnerships.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
  • Minimum of 7+ years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying end-to-end ML solutions in production environments.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with MLOps tools and data pipeline orchestration.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps NLP Computer Vision Machine Learning Cloud Architecture

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