Senior Machine Learning Engineer

📋 Job Overview

Join C the Signs as a Senior Machine Learning Engineer to develop and deploy Large language and machine learning models, focusing on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.

🏢 About C the Signs

C the Signs is a company dedicated to building AI solutions that shape the future of healthcare. We are committed to leveraging the power of AI to save lives and improve health equity through cutting-edge innovation.

🎯 The Role

The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets.

✅ Key Responsibilities

• Clean, transform, and prepare large, complex healthcare datasets for machine learning model development.
• Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems.
• Evaluate model performance using appropriate metrics and implement optimization strategies.
• Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.
• Collaborate 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 experimental results.

📌 Required Qualifications

• 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 (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).
• Experience with GPU/TPU optimization, memory management for large language models.
• Experience working with healthcare data is highly desirable.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Strong understanding of various machine learning algorithms, Large Language Models, and deep learning architectures.

⭐ Desirable Experience

• Experience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark).
• Familiarity with MLOps practices and tools.

🎁 Benefits

Competitive salary and benefits package.
Flexible working arrangements (remote or hybrid options available).
The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

🛂 Visa & Eligibility

Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa.