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Senior AI/ML Engineer (2026 Vision)

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are pioneering the technological landscape of 2026. Apex Innovations Inc. is seeking a visionary Senior AI & Machine Learning Engineer to lead our next-generation model development initiatives. If you are passionate about shaping the future of Artificial Intelligence and possess a deep understanding of scalable architecture, we want to hear from you.


Join our elite team in San Francisco and help define the standards for intelligent systems in the year 2026 and beyond.

Responsibilities

  • Architect and Deploy: Design, train, and deploy scalable machine learning models and AI systems that drive core business intelligence.
  • Pipeline Optimization: Build robust data pipelines to handle high-velocity data streams, ensuring real-time processing for 2026 standards.
  • Research & Innovation: Stay at the forefront of AI advancements, specifically in Generative AI and Large Language Models (LLMs).
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Model Evaluation: Rigorously evaluate model performance, accuracy, and ethical bias to ensure compliance with industry standards.

Qualifications

  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP/Azure) is required.
  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • Problem Solving: Proven track record of solving complex engineering challenges and optimizing system performance.
  • Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and cross-functional teams.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP NLP SQL Data Pipelines Generative AI

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