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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Apex Digital Innovations
Seattle
Estimated Salary
USD 160.000 – USD 230.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to shape the future of intelligent systems?

Apex Digital Innovations is seeking a visionary Senior AI Engineer to join our elite R&D team. In this role, you will be at the forefront of developing cutting-edge Generative AI models that redefine user experiences across our enterprise platforms. If you thrive in a fast-paced, high-impact environment and possess a deep understanding of machine learning architectures, we want to meet you.

We are looking for a technical leader who is not just proficient in code but is also obsessed with the ethical and scalable deployment of AI technologies. Join us in building the tools that will power the next decade of digital innovation.

Responsibilities

  • Design, develop, and optimize state-of-the-art Machine Learning (ML) and Deep Learning (DL) models.
  • Lead the end-to-end lifecycle of AI model development, from data ingestion and preprocessing to model training, validation, and deployment.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into production environments.
  • Research and implement the latest advancements in Large Language Models (LLMs) and Natural Language Processing (NLP) techniques.
  • Ensure model scalability, latency efficiency, and robustness in high-volume production settings.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, including frameworks such as PyTorch, TensorFlow, or JAX.
  • Deep understanding of statistical modeling, neural networks, and optimization algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying models into production with measurable performance improvements.
  • Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS Docker Kubernetes Scikit-learn

Ready to Take This Challenge?

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