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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of intelligent systems? Nexus Innovations is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the next generation of generative AI and machine learning solutions that will define the industry standards for 2026 and beyond. If you have a passion for cutting-edge technology and want to work on projects that impact millions of lives, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and neural networks.
  • Lead the full lifecycle of AI projects, from data ingestion and preprocessing to model evaluation and productionization.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing models for scalability, latency, and efficiency in cloud environments.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high technical standards.
  • Stay abreast of the latest advancements in Deep Learning, NLP, and Computer Vision.
  • Implement robust monitoring and logging systems to ensure model reliability and performance.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models serving thousands of requests per second.
  • Experience with MLOps tools and pipelines (MLflow, Airflow, Kubeflow).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Kubernetes MLOps NLP SQL Data Pipelines Agile

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