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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

NexaTech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join NexaTech Solutions as we pioneer the next wave of AI-driven innovation. We're seeking an exceptional AI/ML Engineer to architect and deploy cutting-edge systems that will define the technological landscape of 2026. In this pivotal role, you'll collaborate with cross-functional teams to transform complex data into actionable intelligence, driving breakthroughs in autonomous systems, predictive analytics, and human-AI collaboration.

Why NexaTech? We offer a dynamic environment where your work directly impacts emerging technologies, competitive equity packages, and unparalleled growth opportunities. Our commitment to ethical AI development ensures you'll build solutions that shape a better future.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing
  • Develop novel AI architectures for predictive modeling and anomaly detection
  • Optimize model performance using advanced techniques like transfer learning and reinforcement learning
  • Collaborate with product teams to integrate AI capabilities into customer-facing solutions
  • Lead research initiatives in emerging AI domains including generative AI and quantum machine learning
  • Maintain robust MLOps infrastructure for continuous model deployment and monitoring
  • Document technical specifications and mentor junior engineers on best practices

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 5+ years of experience in production-level ML system development
  • Expert proficiency in Python, TensorFlow, and PyTorch frameworks
  • Strong background in distributed computing and cloud platforms (AWS/GCP/Azure)
  • Proven track record of publishing in top-tier AI conferences or journals
  • Experience with ethical AI frameworks and bias mitigation strategies
  • Demonstrated ability to translate business requirements into technical solutions
  • Portfolio showcasing end-to-end ML projects with measurable impact

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AWS AI Ethics MLOps Predictive Analytics Generative AI

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