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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Apex Innovations as a Senior Machine Learning Engineer and lead the charge in building intelligent systems for 2024. We are seeking a visionary engineer with a passion for scalability and algorithmic innovation to join our elite engineering team in San Francisco.

In this role, you will design and deploy state-of-the-art machine learning models that drive our core product features. You will work in a fast-paced environment where your expertise in AI and MLOps will directly impact millions of users worldwide.

Responsibilities

  • Design, train, and deploy scalable machine learning models using Python and modern deep learning frameworks.
  • Build and maintain robust MLOps pipelines for continuous integration, deployment, and monitoring.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers.
  • Optimize model inference latency and accuracy for real-time applications.
  • Conduct code reviews and provide technical mentorship to junior engineers.
  • Research and implement the latest advancements in Natural Language Processing (NLP) and Computer Vision.

Qualifications

  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning or data science.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps principles, data pipelines, and CI/CD practices.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow AWS MLOps Docker Kubernetes SQL NLP Computer Vision Data Science

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