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Information Technology 🏒 Full Time ⭐️ Verified

Senior Machine Learning Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you passionate about the intersection of data and artificial intelligence? Apex Dynamics is seeking a visionary Senior Machine Learning Engineer to lead our next generation of AI solutions. In this role, you will architect scalable machine learning pipelines, optimize deep learning models, and deploy cutting-edge algorithms that drive business intelligence and user engagement.

We are not just building models; we are shaping the future of autonomous decision-making systems. If you thrive in a fast-paced, innovative environment and want to work with state-of-the-art technology, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning and deep learning models.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define and implement AI strategies.
  • Optimize models for latency, scalability, and accuracy using distributed computing frameworks.
  • Establish best practices for data governance, model monitoring, and version control.
  • Mentor junior engineers and conduct code reviews to ensure high-quality software engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying models to production environments.

Required Skills

Python PyTorch TensorFlow AWS Docker Kubernetes SQL Scikit-Learn

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