Machine Learning Engineer

1 month ago

chicago, United States Harnham Full time

Machine Learning Engineer (LLM)

Up to $150,000

Chicago



Lead the development of innovative AI solutions



The Company


They lead in AI and machine learning innovation, developing solutions that transform industries. Their team pushes the limits of AI to create technologies that empower businesses and individuals. Focused on building intelligent systems that learn, predict, and operate autonomously, they invite you to join the AI revolution.



The Role


  • Design, develop, and optimize machine learning models to enhance performance, accuracy, and efficiency.
  • Apply advanced AI techniques, such as transfer learning, hyperparameter tuning, and feature engineering, to refine models.
  • Collaborate with data scientists and engineers to identify, gather, preprocess, and clean datasets for training and validation.
  • Monitor model performance regularly, pinpointing areas for improvement and implementing updates as necessary.
  • Keep up with the latest AI/ML advancements, integrating best practices into ongoing projects.
  • Work with cross-functional teams to embed AI models into larger systems, ensuring smooth integration and scalability.
  • Document model development, results, and insights to contribute to the team's knowledge base and best practices.
  • Offer technical guidance and mentorship to junior team members, promoting a culture of innovation and continuous learning.


Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
  • Demonstrated experience in AI/ML model development, showcasing expertise in model fine-tuning and optimization through a portfolio of projects.
  • Proficient in Python with hands-on experience using AI/ML libraries and frameworks like TensorFlow, PyTorch, and Keras.
  • Skilled in data manipulation and analysis using tools such as Pandas, NumPy, and SQL.
  • Strong knowledge of advanced machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
  • Excellent problem-solving abilities, with the capacity to work both independently and collaboratively.
  • Strong communication and teamwork skills, capable of conveying complex technical concepts to non-technical audiences.




Benefits

  • Salary up to $150,000
  • Health cover




How to Apply

Please register your interest by sending your CV to Luc Simpson-Kent via the link on this page.

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