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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to build the technology of tomorrow? Nexus Future Tech is seeking a visionary Senior AI & Machine Learning Engineer to lead our research initiatives. As we look toward the technological landscape of 2026 and beyond, we need a problem-solver who is passionate about Generative AI, Large Language Models (LLMs), and scalable neural architectures.

In this pivotal role, you will drive the development of next-generation AI solutions that redefine user experiences. You will collaborate with a world-class team of data scientists, engineers, and product strategists to transform complex data into actionable intelligence. Join us in shaping the future of intelligent systems.

Responsibilities

  • Design & Implement: Architect and deploy robust machine learning pipelines and neural networks to support scalable products.
  • Research Leadership: Conduct cutting-edge research in Deep Learning, NLP, and Computer Vision to stay ahead of industry trends.
  • Model Optimization: Fine-tune and optimize large models for performance, latency, and accuracy in production environments.
  • Collaboration: Partner with cross-functional teams to integrate AI capabilities into user-facing applications seamlessly.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Infrastructure: Work closely with DevOps to ensure model availability, security, and scalability.

Qualifications

  • Experience: 5+ years of professional experience in AI/ML, with a focus on Deep Learning or NLP.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS/GCP/Azure) is required.
  • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • Generative AI: Proven track record of working with or implementing LLMs (e.g., GPT, BERT, LLaMA).
  • Problem Solving: Strong analytical skills with the ability to translate business requirements into technical algorithms.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS GCP SQL Data Engineering Model Deployment Generative AI Large Language Models

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