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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech Innovator

NexusAI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NexusAI Solutions at the forefront of technological evolution! We're pioneering breakthrough AI systems that will define the 2026 digital landscape. As a Senior AI/ML Engineer, you'll architect next-generation machine learning solutions that transform industries and shape the future. Our dynamic team thrives on innovation, collaboration, and pushing the boundaries of what's possible with artificial intelligence.

Why NexusAI? We offer unparalleled opportunities to work with cutting-edge technologies, mentor top talent, and contribute to projects that impact millions. Enjoy competitive compensation, flexible work arrangements, and a culture that celebrates curiosity and breakthrough thinking.

Responsibilities

  • Design and implement scalable ML pipelines for real-time predictive analytics
  • Lead development of autonomous systems using reinforcement learning
  • Optimize neural architectures for edge deployment in IoT environments
  • Collaborate with cross-functional teams to integrate AI into enterprise solutions
  • Research and prototype novel algorithms for natural language processing
  • Contribute to MLOps infrastructure for automated model lifecycle management
  • Mentor junior engineers and conduct technical workshops
  • Stay current with emerging AI trends and publish research findings

Qualifications

  • 5+ years of experience in machine learning and deep learning
  • Expertise in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)
  • Strong background in NLP, computer vision, or reinforcement learning
  • Proven track record of deploying production-scale ML systems
  • PhD or Master's in Computer Science, Mathematics, or related field
  • Experience with MLOps tools (Kubeflow, MLflow, Vertex AI)
  • Publication record at top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong problem-solving skills and ability to translate business needs into technical solutions

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps NLP Computer Vision Reinforcement Learning Kubernetes Docker Scikit-learn Apache Spark

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