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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

NexaCore Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a technological revolution. NexaCore Innovations is seeking a visionary Senior AI/ML Engineer to define the technical roadmap for 2026 and beyond. In this pivotal role, you will architect scalable machine learning systems and lead the integration of next-generation Generative AI into our core product suite.

You will collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex AI concepts into robust, real-world solutions. If you are passionate about the future of artificial intelligence and want to build the systems that will define the next era of human-computer interaction, we want to hear from you.

Responsibilities

  • Design and implement state-of-the-art machine learning models, focusing on LLMs and neural architectures for the 2026 ecosystem.
  • Lead the end-to-end lifecycle of AI features, from data ingestion and feature engineering to model deployment and monitoring.
  • Optimize existing models for speed, accuracy, and efficiency using techniques like quantization and pruning.
  • Establish best practices for MLOps, ensuring reproducibility and scalability of AI infrastructure.
  • Conduct rigorous research to evaluate emerging AI trends and integrate them into the product roadmap.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, deep learning, or AI research.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of shipping high-impact AI products to production.

Required Skills

Python PyTorch Machine Learning Deep Learning NLP MLOps AWS GCP LLMs TensorFlow

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