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Senior Machine Learning Engineer

2 months, 3 weeks ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Deep Learning Feature Engineering GCP LLM Machine Learning MLOps NumPy Pandas Python PyTorch Scikit-learn TensorFlow
Apply Now
C the Signs

C the Signs

C the Signs is a cutting-edge cancer prediction system that uses artificial intelligence to enhance early detection and survival rates. The company is dedicated to reducing healthcare disparities by accelerating early cancer detection, improving patien...

Professional Services
51-250
Founded 2017
View All Jobs 8

Description

  • Clean, transform, and prepare large, complex healthcare datasets for model development.
  • Identify, collect, and curate relevant datasets for model retraining.
  • Format data for the selected large language model and training pipeline.
  • Design, train, and fine-tune large language models on healthcare data for clinical and operational problems.
  • Set up and manage the training environment, including GPU instances and required software.
  • Optimize training by tuning hyperparameters such as learning rate, batch size, and training epochs.
  • Integrate structured and unstructured data into multi-modal or multi-input models.
  • Evaluate model performance, identify improvement areas, and implement optimization strategies.
  • Develop and maintain scalable data, training, inference, and deployment pipelines.
  • Collaborate with data scientists, clinicians, and software engineers to integrate models and support privacy and security compliance.
  • Maintain clear documentation of models, pipelines, and experimental results.
  • Stay current with advancements in machine learning and healthcare AI and explore new technologies and methods.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in Machine Learning Engineering or a similar role.
  • Proven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.
  • Experience with distributed training tools such as PyTorch Distributed, DeepSpeed, Ray, or Hugging Face Accelerate.
  • Experience with GPU/TPU optimization and memory management for large language models.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
  • Strong understanding of machine learning algorithms, large language models, and deep learning architectures.
  • Experience with cloud platforms such as GCP or AWS and distributed computing frameworks such as Spark is a plus.
  • Familiarity with MLOps practices and tools.
  • Experience working with healthcare data is highly desirable.
  • Must be a US Citizen, Green Card holder, or currently in the US with a valid H1B visa.
  • Excellent problem-solving, analytical, communication, and collaboration skills.

Benefits

  • Competitive salary and benefits package.
  • Flexible working arrangements with remote or hybrid options.
  • Opportunity to work on AI technology that directly impacts patient outcomes.
  • Work for a mission-driven team focused on saving lives and improving health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Interested in this position?

Apply directly on the company website

Apply Now

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