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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Roadmap)

Apex Future Tech
San Francisco
Estimated Salary
USD 185.000 – USD 245.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Apex Future Tech is hiring a visionary Senior AI/ML Engineer to spearhead our initiatives for the 2026 technological roadmap. We are building the foundational layers of next-generation autonomous systems and predictive analytics engines.

In this role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for deploying scalable Large Language Models (LLMs) and designing robust data pipelines that power our enterprise clients.

What You Will Do:

  • Design and implement end-to-end machine learning pipelines using Python and modern frameworks.
  • Research and integrate cutting-edge AI models, including LLMs, NLP, and Computer Vision.
  • Optimize model performance for speed and accuracy in high-traffic environments.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Establish best practices for MLOps, CI/CD, and model monitoring.

Why Apex Future Tech?

  • Competitive Compensation: Top-tier salary and equity packages.
  • Growth: Direct exposure to the bleeding edge of technology.
  • Environment: A culture that values innovation, autonomy, and continuous learning.

Responsibilities

  • Develop and deploy scalable machine learning algorithms in production environments.
  • Lead architectural decisions for data storage, retrieval, and processing.
  • Conduct code reviews and mentor junior data scientists and engineers.
  • Stay abreast of the latest AI trends and implement them effectively.
  • Ensure data privacy, security, and ethical AI standards are met.

Qualifications

  • B.S., M.S., or PhD in Computer Science, Data Science, or a related field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, and scikit-learn.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Proven track record of shipping production-ready AI products.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Docker Kubernetes NLP MLOps SQL

Ready to Take This Challenge?

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

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