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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Lead Engineer (2026 Vision)

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

Job Description

Shape the Future of Intelligence. Nexus Future Systems is at the forefront of the 2026 technological revolution. We are building the next generation of autonomous agents and generative AI platforms that will redefine human-machine interaction. We are seeking a visionary AI/ML Lead Engineer to lead our research and engineering efforts.

In this pivotal role, you will be responsible for architecting scalable machine learning pipelines, optimizing large language models, and setting the technical direction for our 2026 roadmap. If you are passionate about pushing the boundaries of what is possible in AI and thrive in a fast-paced, innovative environment, we want to meet you.

Responsibilities

  • Lead Architect: Design and implement robust, scalable ML infrastructure capable of handling massive data streams for our 2026 products.
  • Model Optimization: Drive research and development in Deep Learning and Natural Language Processing (NLP) to enhance model accuracy and efficiency.
  • Technical Leadership: Mentor a team of data scientists and engineers, conducting code reviews and fostering a culture of technical excellence.
  • Strategic Roadmap: Collaborate with product managers to translate business requirements into cutting-edge AI technical solutions.
  • Production Deployment: Oversee the CI/CD pipeline for AI models, ensuring seamless deployment to cloud environments (AWS/GCP).

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of software engineering experience, with at least 2 years in a leadership or senior AI role.
  • Technical Expertise: Proficiency in Python, PyTorch, TensorFlow, and MLOps tools.
  • Domain Knowledge: Strong understanding of Generative AI, Transformer architectures, and Reinforcement Learning.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS GCP Natural Language Processing Machine Learning Deep Learning Leadership

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