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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Visionary

OmniStream Technologies
San Francisco, CA
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to build the intelligence of tomorrow? Join OmniStream Technologies as a Senior AI/ML Engineer and help define the technological landscape of 2026.

We are on the cutting edge of Generative AI and Agentic Workflows. We are looking for a visionary engineer who doesn't just implement existing models but pushes the boundaries of what's possible. If you are passionate about building scalable, ethical, and powerful AI systems that will power the next decade of enterprise, this is your opportunity.

Why Join Us?

  • Future-Ready Tech Stack: Work with the latest in PyTorch, Llama 3, and Quantum-inspired algorithms.
  • Impactful Work: Your models will directly influence how millions of users interact with digital intelligence.
  • Premium Compensation: Competitive salary plus equity in a unicorn startup.

Key Responsibilities:

Responsibilities

  • Design, develop, and deploy large-scale Machine Learning and Deep Learning models focused on LLMs and Computer Vision.
  • Architect robust, high-throughput inference pipelines capable of handling millions of requests daily.
  • Research and implement novel techniques in prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).
  • Collaborate closely with product and engineering teams to translate complex business requirements into technical AI solutions.
  • Mentor junior engineers and conduct code reviews to maintain high standards of quality and best practices.
  • Optimize model performance for latency, cost, and accuracy in production environments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • 5+ years of professional experience in software engineering and machine learning.
  • Deep proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Extensive experience with LLMs, Hugging Face, LangChain, or similar frameworks.
  • Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-grade AI products.

Required Skills

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

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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