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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Apex Innovations is seeking a visionary Senior AI/ML Engineer to lead our next-generation intelligent systems. We are not just building software; we are architecting the future of human-machine interaction.

In this role, you will collaborate with world-class researchers and product experts to deploy state-of-the-art machine learning models that scale to millions of users. If you are passionate about the intersection of data science and real-world application, we want to meet you.

Why Join Us?
At Apex Innovations, we prioritize innovation, autonomy, and impact. You will have the freedom to experiment with cutting-edge architectures and the resources to turn your ideas into reality.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep learning architectures.
  • Collaborate with data engineers to optimize data pipelines and improve model training efficiency.
  • Implement MLOps best practices to ensure model reliability, monitoring, and automated retraining.
  • Conduct research to explore novel algorithms and stay ahead of industry trends in AI.
  • Translate complex technical requirements into robust, maintainable code.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning engineering or data science.
  • Proficiency in Python and major deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of statistical modeling, natural language processing, or computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python TensorFlow PyTorch Machine Learning NLP MLOps AWS Docker Keras SQL

Ready to Take This Challenge?

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

Apply Now

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