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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the future of technology?

Apex Innovation Labs is seeking a visionary Senior AI/ML Engineer to join our elite engineering team. We are not just building software; we are architecting intelligent systems that will power the next generation of digital experiences. If you thrive in a fast-paced, high-impact environment and want to work on cutting-edge artificial intelligence solutions that scale globally, this is your opportunity.

In this role, you will be at the forefront of innovation, leveraging Deep Learning and Natural Language Processing to solve complex problems. You will collaborate with world-class researchers and product engineers to deploy models that redefine industry standards.

Why Join Us?

  • Competitive compensation package and equity options.
  • Work with state-of-the-art cloud infrastructure (AWS/GCP).
  • Flexible remote-first culture with quarterly all-hands meetups.

Responsibilities

  • Model Development: Design, train, and fine-tune advanced deep learning models using Python, PyTorch, and TensorFlow.
  • System Architecture: Build scalable MLOps pipelines to ensure reliable deployment and monitoring of production models.
  • Data Strategy: Collaborate with data scientists to curate high-quality datasets and implement robust data pipelines.
  • Performance Optimization: Optimize model inference speeds and reduce latency for real-time applications.
  • Research & Innovation: Stay ahead of industry trends by researching novel architectures and contributing to our patent portfolio.

Qualifications

  • Experience: 5+ years of professional experience in software engineering or data science, with a focus on AI/ML.
  • Technical Skills: Proficiency in Python, SQL, and experience with major ML frameworks (TensorFlow, Keras, or PyTorch).
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Deployment: Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
  • Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts to stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps Kubernetes Docker SQL AWS Natural Language Processing Computer Vision

Ready to Take This Challenge?

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

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