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Information Technology 🏢 Full Time ⭐️ Verified

AI & Automation Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Shape the future with FutureTech Innovations – a trailblazing startup pioneering next-generation AI solutions for 2026 and beyond. We're seeking an AI & Automation Lead to architect intelligent systems that redefine industry standards. Join our elite team in San Francisco and drive the development of cutting-edge machine learning models, robotic process automation frameworks, and autonomous decision engines. This is your opportunity to build scalable AI ecosystems that solve complex global challenges while working with industry pioneers in a culture of relentless innovation.

Responsibilities

  • Design and implement end-to-end AI automation solutions integrating NLP, computer vision, and predictive analytics
  • Lead a cross-functional team of data scientists and engineers to deliver enterprise-scale automation projects
  • Develop strategic roadmaps for AI adoption across client industries including healthcare, logistics, and finance
  • Research and prototype emerging AI technologies (e.g., quantum-ML, generative AI) for 2026 market readiness
  • Optimize AI systems for scalability, security, and ethical compliance frameworks
  • Collaborate with C-suite executives to align AI initiatives with business transformation goals
  • Drive innovation through hackathons, patent development, and thought leadership publications

Qualifications

  • Master's degree in Computer Science, AI, or related field with 8+ years of AI/automation experience
  • Proven expertise in building production-grade ML pipelines using TensorFlow, PyTorch, or equivalent frameworks
  • Deep understanding of automation tools (UiPath, Automation Anywhere) and cloud platforms (AWS/Azure/GCP)
  • Strong background in ethical AI governance and responsible algorithm development
  • Experience leading technical teams and managing AI project lifecycles from conception to deployment
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent industry contributions
  • Proficiency in Python, Kubernetes, and MLOps tools for scalable AI infrastructure

Required Skills

Machine Learning Automation TensorFlow PyTorch NLP Computer Vision MLOps AI Ethics Cloud Architecture Leadership

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