C the Signs is hiring a Senior Machine Learning Engineer to lead the end-to-end development and deployment of Large Language and machine learning models. You'll focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets to solve specific clinical and operational problems.
What You'll Do
- Clean, transform, and prepare large, complex healthcare datasets for machine learning model development.
- Identify, collect, and curate relevant, industry-specific datasets for model retraining.
- Design, train, and fine-tune various LLMs on extensive healthcare data.
- Set up and manage the training environment, including GPU instances and required software.
- Experiment with and fine-tune hyperparameters to optimize model performance.
- Integrate structured and unstructured data for multi-modal models.
- Evaluate model performance and implement optimization strategies.
- Develop and maintain robust and scalable data and ML pipelines.
- Work closely with data scientists, clinicians, and software engineers to integrate models into production systems.
- Stay up-to-date with the latest advancements in machine learning and healthcare AI.
- Maintain clear and comprehensive documentation of models, data pipelines, and results.
What We're Looking For
- Bachelor's or Master's degree in Computer Science, Machine Learning, AI, 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 (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
- Experience with GPU/TPU optimization and memory management for large language models.
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Strong understanding of machine learning algorithms, Large Language Models, and deep learning architectures.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
- Must be a US Citizen, Green Card holder, or currently in the US with a valid H1B visa.
Nice to Have
- Experience working with healthcare data is highly desirable.
- Experience with cloud platforms (GCP, AWS) and distributed computing frameworks (Spark) is a plus.
- Familiarity with MLOps practices and tools.
Technical Stack
- Languages & Libraries: Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
- Cloud & Infrastructure: GCP, AWS, Spark
Benefits & Compensation
- Competitive salary and benefits package.
- Flexible working arrangements (remote or hybrid options available).
- The opportunity to work on AI technology that directly impacts patient outcomes.
- Join a team that combines innovation with a mission to save lives and improve health equity.
- Continuous learning opportunities with access to the latest tools and advancements.
Work Mode
This role offers a hybrid work arrangement.
C the Signs is an equal opportunity employer.
