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Senior AI/ML Engineer (2026 Vision)

Apex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence and define the landscape for the year 2026? Apex Innovations is seeking a visionary Senior AI/ML Engineer to lead our next-generation generative AI initiatives. In this pivotal role, you will architect scalable machine learning systems and deploy state-of-the-art large language models that redefine user interaction and operational efficiency.

We are looking for a technical leader who is not just proficient in current tools but is forward-thinking, ready to tackle the complex challenges of tomorrow. You will be at the forefront of innovation, working with cutting-edge technology to build products that matter.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines for generative AI and large language model applications.
  • Collaborate with product managers and engineers to define technical roadmaps aligned with 2026 strategic goals.
  • Optimize model inference performance and reduce latency for real-time, high-volume applications.
  • Ensure ethical AI practices, data privacy compliance, and robustness in all deployed models.
  • Mentor junior engineers and foster a culture of innovation, technical excellence, and continuous learning.
  • Conduct research and proof-of-concepts for emerging AI technologies to keep our stack ahead of the curve.

Qualifications

  • Master’s degree in Computer Science, Data Science, Mathematics, or a related field (PhD preferred).
  • 7+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with LLMs (e.g., GPT-4, Claude, LLaMA) and fine-tuning methodologies.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Generative AI LLMs Deep Learning Machine Learning Docker Kubernetes

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