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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Apex Innovations Inc.
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 architect the future of technology? Apex Innovations Inc. is seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D division. We are building the infrastructure that will define the 2026 technological landscape, focusing on next-generation generative models and autonomous systems.

About the Role

In this pivotal role, you will lead the development of scalable AI solutions that push the boundaries of what's possible. You will work directly with C-level executives to define roadmaps and implement cutting-edge algorithms that drive our core products. If you are passionate about solving complex problems and want to leave a lasting legacy in the tech industry, this is your opportunity.

Responsibilities

  • Lead R&D Initiatives: Spearhead the research and development of novel machine learning algorithms tailored for 2026 standards.
  • Model Deployment: Design, train, and deploy large-scale AI models on cloud infrastructure (AWS/Azure) ensuring high availability and low latency.
  • System Optimization: Continuously monitor and optimize existing models to improve accuracy, efficiency, and reduce inference costs.
  • Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and establishing best practices for AI engineering.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable insights for non-technical stakeholders and product managers.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production-ready models.
  • Core Skills: Proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Cloud Expertise: Deep experience with cloud platforms (AWS/GCP) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Strong analytical skills with a focus on data-driven decision-making and system architecture.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS MLOps NLP SQL Agile Leadership

Ready to Take This Challenge?

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