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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

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

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect transformative solutions that will redefine industries. Our dynamic team operates at the intersection of cutting-edge research and practical application, leveraging state-of-the-art infrastructure to build scalable AI systems that impact billions of lives.

In this pivotal role, you'll collaborate with cross-functional teams to develop next-generation machine learning models, drive innovation in generative AI applications, and contribute to our patent-pending neural architectures. We offer competitive equity packages, flexible work arrangements, and unparalleled opportunities to shape the future of artificial intelligence.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing
  • Lead development of generative AI models for enterprise applications
  • Optimize deep learning frameworks for distributed computing environments
  • Conduct A/B testing and performance analysis of AI systems
  • Mentor junior engineers and establish best practices for MLOps
  • Collaborate with product teams to translate business requirements into technical solutions
  • Stay current with emerging AI research and integrate breakthrough technologies

Qualifications

  • 5+ years of experience in production-level ML/AI development
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
  • PhD or Master's in Computer Science, Mathematics, or related field
  • Proven track record of deploying ML models at scale
  • Strong foundation in data structures, algorithms, and distributed systems
  • Experience with MLOps tools (Kubeflow, MLflow, Airflow)
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong problem-solving skills and ability to work in fast-paced environments

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning MLOps Data Science Neural Networks Generative AI

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