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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Visionary 2026

InnovateNext Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join InnovateNext Labs at the forefront of technological evolution as we pioneer solutions for the 2026 digital landscape. We're seeking an exceptional AI/ML Engineer to architect intelligent systems that will redefine industries. This role demands a visionary thinker who thrives on transforming complex challenges into scalable, ethical AI solutions. You'll collaborate with cross-disciplinary teams to build the next generation of autonomous systems, predictive analytics platforms, and human-AI interfaces. Our dynamic startup environment offers unparalleled opportunities to shape the future of technology while working with cutting-edge tools and methodologies.

Responsibilities

  • Design and implement advanced ML models for predictive analytics and autonomous decision-making systems
  • Lead research and development of generative AI solutions for 2026-era applications
  • Architect scalable AI infrastructure supporting real-time data processing at petabyte scale
  • Collaborate with product teams to integrate AI capabilities into user-facing platforms
  • Establish ethical AI frameworks and bias mitigation strategies for deployment-ready systems
  • Mentor junior engineers in emerging AI paradigms and best practices

Qualifications

  • 8+ years of experience in AI/ML with 3+ years in generative AI or large-scale ML systems
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Published research in top-tier AI conferences or proven industry impact
  • Strong background in MLOps, CI/CD pipelines for ML, and cloud architecture (AWS/GCP)
  • Experience with ethical AI governance and responsible deployment practices
  • PhD in Computer Science or equivalent technical leadership role

Required Skills

Python TensorFlow PyTorch Generative AI MLOps Distributed Computing AWS GCP Ethical AI Research Leadership

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