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Senior AI/ML Engineer - 2026 Vision

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to build the future? OmniFuture Technologies is at the forefront of the 2026 technology revolution. We are seeking a visionary Senior AI/ML Engineer to architect next-generation Generative AI systems and Autonomous Agents. If you want to work on cutting-edge projects that will define the landscape of human-computer interaction for the next decade, this is your opportunity.

As a key member of our R&D division, you will lead the development of scalable neural architectures, optimize large language models for edge deployment, and pioneer new paradigms in machine learning. Join us in shaping the trajectory of the 2026 tech ecosystem.

Responsibilities

  • Architect and implement scalable deep learning models and neural networks for high-volume production environments.
  • Lead the optimization and fine-tuning of Large Language Models (LLMs) to enhance inference speed and accuracy.
  • Design robust MLOps pipelines to ensure seamless deployment, monitoring, and maintenance of AI models.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Conduct cutting-edge research in Generative AI and Reinforcement Learning to stay ahead of industry trends.
  • Provide technical mentorship and guidance to junior engineers and interns, fostering a culture of innovation.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in designing and deploying machine learning systems.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience working with Transformers, NLP, and multimodal AI architectures.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile startup environment.

Required Skills

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

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