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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Cohort) - San Francisco, CA

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer (2026 Cohort) to lead our next-generation machine learning initiatives. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, shaping the future of our enterprise platform.

As a key member of the 2026 cohort, you will work with state-of-the-art Large Language Models (LLMs) and generative AI architectures to solve complex business problems. This is an opportunity to define the technical roadmap for AI integration in a rapidly evolving market.

Responsibilities

  • Design, develop, and deploy cutting-edge machine learning models for large-scale production environments.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Collaborate closely with data scientists, product managers, and engineering teams to define AI product requirements and roadmaps.
  • Implement robust MLOps pipelines for the continuous integration and delivery of AI models.
  • Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Stay abreast of the latest advancements in AI research and apply them to our technology stack.

Qualifications

  • Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of neural networks, natural language processing, and generative AI.
  • Demonstrated ability to translate business requirements into technical AI solutions.

Required Skills

Python Machine Learning Deep Learning MLOps TensorFlow PyTorch AWS Docker Kubernetes NLP Generative AI

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