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Senior AI Engineer - 2024 Vision - San Francisco, CA

NexGen AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team at NexGen AI Labs. As a leader in the tech industry, we are building the next generation of intelligent systems designed to revolutionize the landscape of 2024. You will work at the intersection of data science and software engineering, deploying scalable machine learning models that power our core products.

Why Join Us?
We offer a competitive salary, comprehensive benefits, and the opportunity to work on cutting-edge projects that define the future of Artificial Intelligence.

Responsibilities

  • Model Development: Design, train, and deploy state-of-the-art machine learning models, including NLP and Computer Vision, to solve complex business problems.
  • System Architecture: Architect scalable and robust AI systems that integrate seamlessly with existing cloud infrastructure (AWS/Azure/GCP).
  • Data Pipeline Management: Build and maintain efficient data pipelines to ensure high-quality data ingestion and processing.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Performance Optimization: Continuously monitor model performance and optimize inference speeds and accuracy.
  • Research: Stay ahead of the curve by researching the latest advancements in AI and implementing them into our product suite.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering.
  • Programming: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Big Data: Strong experience with big data technologies (Spark, Hadoop) and SQL.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Tools: Familiarity with CI/CD pipelines, version control (Git), and containerization (Docker/Kubernetes).

Required Skills

Python TensorFlow PyTorch NLP Computer Vision Machine Learning AWS Docker Kubernetes SQL Spark Data Pipelines

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