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Machine Learning Innovator

1 month ago

San Francisco, California, United States Unreal Gigs Full time
Unlock the Power of Machine Learning

At Unreal Gigs, we're on a mission to harness the potential of machine learning to drive business success. As a Machine Learning Engineer, you'll play a crucial role in designing, implementing, and optimizing intelligent systems that unlock new opportunities for growth and innovation.

Key Responsibilities:
  1. Design and Develop Machine Learning Models:
  • Develop and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Data Collection, Cleaning, and Preprocessing:
  • Collaborate with data engineers and analysts to collect, clean, and prepare large datasets for training and evaluation.
Model Training and Hyperparameter Tuning:
  • Train machine learning models and perform hyperparameter optimization to improve model performance.
Deployment and Integration:
  • Work closely with software engineers to deploy machine learning models into production environments.
Model Monitoring and Maintenance:
  • Continuously monitor the performance of deployed models and retrain or fine-tune them as needed.
Collaboration and Cross-Functional Support:
  • Partner with data scientists, software engineers, and product managers to identify opportunities for machine learning solutions.
Stay Up-to-Date with AI Trends:
  • Stay current with the latest advancements in machine learning and AI technologies.

Requirements:

  • Machine Learning Expertise: Strong knowledge of machine learning algorithms and frameworks.
  • Programming Skills: Proficiency in programming languages such as Python, R, or Java.
  • Data Engineering: Experience in handling large datasets and data preprocessing.
  • Model Deployment: Familiarity with deploying machine learning models into production environments.
  • Performance Optimization: Strong ability to fine-tune models for performance and optimize algorithms for scalability and speed.

Educational Requirements:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Certifications or advanced coursework in AI, machine learning, or data science are a plus.

Experience Requirements:

  • 3+ years of experience in machine learning engineering, with a focus on building and deploying models in production environments.
  • Proven experience working with large datasets, designing machine learning pipelines, and optimizing model performance.
  • Experience with cloud-based machine learning services is highly desirable.