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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2026 - Shaping the Future

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Solutions is seeking a visionary Senior AI/ML Engineer to lead our next generation of autonomous systems. In this role, you will not just use existing tools; you will architect the algorithms that power our clients' digital transformation.

We are at the forefront of Agentic AI and Neuromorphic Computing. If you are passionate about solving complex problems with cutting-edge technology and want to be part of a team that is redefining the industry, we want to meet you.

Why Join Us?

  • Work with state-of-the-art Generative AI and LLMs.
  • Competitive equity package and remote-first flexibility.
  • Opportunity to publish research and influence industry standards.

Apply today to build the future.

Responsibilities

  • Architect & Deploy: Design, build, and deploy scalable machine learning models and inference pipelines for production environments.
  • Next-Gen AI: Spearhead research into emerging paradigms such as Large Action Models (LAMs) and multi-modal agents for the 2026 roadmap.
  • Optimization: Continuously optimize model performance, latency, and resource efficiency to handle high-throughput data streams.
  • Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-centric features.
  • MLOps: Establish robust CI/CD pipelines for model training, validation, and deployment using modern cloud infrastructure.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI research.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • LLM Expertise: Strong background in fine-tuning LLMs (e.g., GPT, Llama) and RAG architectures.
  • Cloud Skills: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow LLMs Generative AI MLOps AWS Kubernetes Natural Language Processing Data Engineering

Ready to Take This Challenge?

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

Apply Now

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