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Posted 5 months ago

Machine Learning Engineer

Details

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Not disclosed
Compensation
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Full time
Time commitment
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Information Technology and Services
Industry
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Between 51 - 200
Company size

Skills

Pytorch
MXNet
Python
Keras
Machine Learning
Tensorflow

Job description

A Machine Learning Engineer trains, validates and evaluates machine learning and deep learning models which perform predictive tasks in various domains such as computer vision, natural language understanding and time-series analysis. Some examples include visual recognition models, activity detection using sensor data and demand forecasting.
  • Translate and refine business goals into appropriate machine learning objectives.
  • Design and implement ML/DL solutions and integrate them with various Big Data platforms and architectures.
  • Create and maintain ML pipelines that are scalable, robust, and ready for production.
  • Collaborate with domain experts, software developers, and data scientists.
  • Troubleshoot ML/DL model issues, including recommendations for retrain, re-validate, and improvements/optimization.
Requirements:
  • Hands-on experience in building ML models deployed into real-world business applications or research.
  • Working knowledge of ML/DL algorithms (classification, regression, clustering, hyperparameter tuning, etc).
  • Proficiency with Python and libraries for machine learning such as scikit-learn and pandas.
  • Good understanding of Deep learning frameworks such as Tensorflow, Keras, PyTorch, MXNet, etc.
  • Experience in using computer vision libraries such as OpenCV, PIL.
Preferred:
  • Experience working with cloud services platform (AWS or GCP) to build ML/DL pipelines.
  • Experience in multi-GPU model training with CUDA.
  • Experience in ML experiment tracking tools (e.g. WandB, Neptune, TensorBoard).
  • Experience in model deployment using Docker (e.g. AWS SageMaker, Google Kubernetes Engine).
  • Experience in model compression or quantization for on-edge-device inference.
  • Experience with Continuous Integration and Continuous Delivery(CI/CD).
  • Relevant certifications in machine learning and cloud technologies (e.g., AWS, Coursera) would be a plus.
Interested in this job?
Apply Now
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