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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Technologies

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an innovative AI/ML Engineer to architect transformative systems that will redefine industries. In this role, you'll collaborate with cross-functional teams to develop scalable machine learning models, leverage cutting-edge frameworks, and deploy AI solutions that solve complex real-world challenges. Our culture celebrates experimentation, and you'll have access to state-of-the-art resources and mentorship from industry pioneers.

Responsibilities

  • Design and implement end-to-end machine learning pipelines using TensorFlow, PyTorch, and Scikit-learn
  • Develop AI solutions for predictive analytics, natural language processing, and computer vision applications
  • Collaborate with product teams to translate business requirements into technical specifications
  • Optimize model performance through hyperparameter tuning and A/B testing methodologies
  • Stay current with emerging AI research and integrate breakthrough technologies into production systems
  • Maintain robust MLOps practices for continuous deployment and monitoring

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field (Master's or PhD preferred)
  • 5+ years of experience in machine learning and deep learning development
  • Expertise in Python, cloud platforms (AWS/GCP), and containerization technologies (Docker/Kubernetes)
  • Proven track record deploying production-level ML models at scale
  • Strong understanding of statistical modeling and algorithm optimization
  • Experience with MLOps frameworks (e.g., Kubeflow, MLflow)
  • Excellent problem-solving skills and ability to communicate complex concepts to stakeholders

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning MLOps NLP Computer Vision

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