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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Project 2026

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join Nexus Innovations' groundbreaking Project 2026 team and help architect the future of artificial intelligence. We're seeking a visionary AI/ML Engineer to develop next-generation machine learning systems that will redefine industry standards. This role offers unparalleled opportunities to work on cutting-edge AI infrastructure, collaborate with world-class researchers, and shape the technological landscape of tomorrow. If you're passionate about pushing AI boundaries and creating scalable solutions that impact millions, this is your moment.

Responsibilities

  • Design and implement advanced ML models for large-scale data processing systems
  • Lead end-to-end development of AI solutions from prototype to production deployment
  • Collaborate with cross-functional teams to define technical roadmaps for 2026 initiatives
  • Optimize model performance using distributed computing frameworks and cloud infrastructure
  • Conduct rigorous testing and validation of AI systems ensuring reliability and scalability
  • Stay ahead of emerging AI trends and integrate cutting-edge research into development workflows
  • Mentor junior engineers and foster a culture of innovation and technical excellence

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in production ML systems and deep learning frameworks
  • Expertise in Python, TensorFlow, PyTorch, and distributed computing tools
  • Proven track record of deploying scalable ML solutions at enterprise scale
  • Strong background in MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP)
  • Experience with NLP, computer vision, or reinforcement learning applications
  • Demonstrated ability to translate business requirements into technical architectures

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AI Research Distributed Computing NLP Computer Vision

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