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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite team at Apex Dynamics. In this role, you will be at the forefront of developing next-generation artificial intelligence solutions that drive our global clients' success. You will architect scalable machine learning pipelines and deploy cutting-edge models to production environments. If you are passionate about pushing the boundaries of data science and eager to shape the future of technology, we want to hear from you.

Why Join Us?
β€’ Competitive salary and equity package.
β€’ Flexible remote-first policy with a focus on collaboration.
β€’ Access to the latest hardware and cloud resources.
β€’ Continuous learning and development budget.

Responsibilities

  • Design and Development: Architect, build, and maintain scalable machine learning models and deep learning pipelines using Python and TensorFlow/PyTorch.
  • Production Deployment: Oversee the deployment of models to cloud environments (AWS/GCP) ensuring high availability and low latency.
  • Data Strategy: Collaborate with data engineers to optimize data pipelines, ensuring high-quality training data for model accuracy.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Research: Stay abreast of the latest trends in AI research and apply novel techniques to improve product performance.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Technical Skills: Proficiency in Python, SQL, and experience with major ML frameworks (Scikit-learn, Keras, PyTorch).
  • Infrastructure: Strong understanding of MLOps, CI/CD, and containerization (Docker, Kubernetes).
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch AWS GCP MLOps SQL Data Engineering

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