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Machine Learning Engineer

2 months ago

New York, United States NUABLE Full time

Job Title: Senior Machine Learning Engineer

Location: New York

Employment Type: Full-time


About Us:


Nuable are delighted to be partnered with an incredible start up who are the forefront of innovation, developing cutting-edge software solutions powered by machine learning and AI. We work on solving complex problems that have real-world impact, and our team of engineers and data scientists collaborates on projects that push the boundaries of what's possible in AI and automation. Join us and help shape the future of AI-driven solutions.


Key Responsibilities:


  • Design, develop, and deploy machine learning models and AI-driven systems in collaboration with cross-functional teams.
  • Build and maintain scalable machine learning pipelines to support a variety of business needs.
  • Work with data scientists, software engineers, and DevOps to deploy ML models in production environments.
  • Conduct model training, tuning, and optimization to improve accuracy and performance.
  • Research and implement state-of-the-art techniques in deep learning, NLP, and computer vision.
  • Collaborate on the design of cloud-based machine learning architectures using platforms such as AWS, GCP, or Azure.


What We’re Looking For:


  • 5+ years of experience in machine learning and AI systems development.
  • Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with large datasets and data processing tools like Spark, Kafka, or Hadoop.
  • Solid understanding of cloud infrastructure and MLOps practices.
  • Experience deploying machine learning models using Docker, Kubernetes, and CI/CD pipelines.
  • Strong problem-solving skills and the ability to work in fast-paced environments.
  • Excellent communication skills and the ability to collaborate effectively in a team.


Why Join Us?:


  • Competitive salary and benefits package.
  • Flexible working hours and remote work options.
  • Opportunity to work on impactful AI/ML projects.
  • Collaborative team environment with growth and learning opportunities.
  • Access to the latest machine learning tools and resources.