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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer (2025)

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead the development of our next-generation machine learning infrastructure for the 2025 roadmap. If you are passionate about building scalable AI systems and want to shape the future of technology, we want to hear from you.

About the Role:

In this pivotal role, you will design and deploy cutting-edge AI models that drive business growth and innovation. You will work in a collaborative environment with world-class engineers and data scientists. This is a unique opportunity to define the technical strategy for our AI initiatives in the coming year.

Why Join Us?

  • Competitive compensation and equity package.
  • Flexible remote-first work culture.
  • Opportunity to work on state-of-the-art AI technologies.

Responsibilities

  • Lead AI Development: Architect and implement scalable machine learning models and pipelines from ideation to production deployment.
  • Model Optimization: Optimize existing models for production environments, focusing on latency, accuracy, and resource efficiency.
  • Team Leadership: Mentor junior engineers and conduct regular code reviews to ensure code quality and adherence to engineering standards.
  • Strategic Planning: Collaborate with product managers and stakeholders to define AI features and technical roadmaps for 2025.
  • Data Strategy: Oversee data ingestion, processing, and storage strategies to support model training and inference.
  • Mentorship: Foster a culture of continuous learning and technical excellence within the engineering team.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production-ready models.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or Scikit-learn. Strong understanding of deep learning architectures.
  • Cloud Expertise: Strong experience with cloud platforms such as AWS, GCP, or Azure (specifically SageMaker, AI Platform, or EC2).
  • Soft Skills: Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning SQL Docker Kubernetes Data Science MLOps

Ready to Take This Challenge?

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

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