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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer AI solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect intelligent systems that redefine industries. In this pivotal role, you'll collaborate with elite researchers to develop scalable machine learning frameworks, drive ethical AI deployment, and shape the future of autonomous decision-making. Our dynamic startup environment offers unparalleled opportunities to influence cutting-edge projects while enjoying competitive compensation and comprehensive benefits.

Responsibilities

  • Design and implement end-to-end ML pipelines for predictive analytics and natural language processing
  • Lead research and development of generative AI models for enterprise applications
  • Optimize deep learning architectures for real-time inference and edge deployment
  • Collaborate with cross-functional teams to translate business requirements into AI solutions
  • Establish MLOps best practices for model monitoring and lifecycle management
  • Mentor junior engineers and conduct technical reviews to ensure code excellence
  • Stay current with emerging AI trends and publish research in top-tier conferences

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade NLP/computer vision systems
  • Strong foundation in statistics, linear algebra, and algorithm design
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
  • Excellent problem-solving skills with ability to translate complex concepts
  • Published research in AI/ML or contributions to open-source frameworks
  • Experience with ethical AI frameworks and responsible deployment practices

Required Skills

Python TensorFlow PyTorch NLP Computer Vision MLOps AWS GCP Kubernetes Generative AI Deep Learning

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