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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Future Systems Inc.
New York, NY
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite team in New York. As we look toward the technological landscape of 2026, we are building the next generation of autonomous agents and generative AI systems that will redefine human-computer interaction. This is not just a job; it is a mission to shape the future.

In this role, you will lead the charge in developing scalable machine learning infrastructure and deploying cutting-edge models. You will work with the brightest minds to solve complex problems in Natural Language Processing (NLP) and Computer Vision.

Responsibilities

  • Design and deploy scalable Large Language Model (LLM) architectures for enterprise applications.
  • Optimize inference pipelines and model latency for real-time generative AI experiences.
  • Lead research initiatives in Reinforcement Learning from Human Feedback (RLHF) and fine-tuning.
  • Collaborate with cross-functional product teams to integrate AI agents into complex workflows.
  • Ensure ethical AI practices, data privacy compliance, and bias mitigation in model training.
  • Mentor junior engineers and establish best practices for MLOps and model governance.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience building and deploying production-level AI/ML models.
  • Proficiency in Python, PyTorch, and TensorFlow with deep understanding of deep learning frameworks.
  • Strong expertise in Natural Language Processing (NLP) and transformer architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills and the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP NLP LLM Machine Learning Deep Learning Docker Kubernetes MLOps New York 2026 Future Tech

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