On behalf of NDA, AI HealthTech platform, SD Solutions is looking for a talented Machine Learning Engineer.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

• Design, develop, and deploy machine learning models for early cancer detection and prediction based on breath sample analysis.
• Process and analyze large-scale health data, including exhaled breath samples, to enhance early cancer detection accuracy.
• Optimize and fine-tune existing algorithms to enhance performance and scalability.
• Collaborate with data engineers to build efficient data pipelines and infrastructure.
• Implement and maintain real-time and batch ML inference systems.
• Work with cross-functional teams, including product and analytics, to integrate ML solutions into the platform.
• Continuously research and implement cutting-edge ML techniques in music trend analysis.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 3+ years of experience in applied machine learning and data science.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure).
• Knowledge of recommendation systems, time-series forecasting, or NLP is a plus.
• Strong problem-solving skills and ability to work in a fast-paced environment

About the company:

NDA, AI HealthTech platform is revolutionizing cancer pre-screening with an innovative AI-based test that can detect multiple cancer types from a single breath sample.

This simple solution allows for easy, at-home sample collection in minutes, without any healthcare professional assistance. Our off-the-shelf test is affordable and available everywhere, at everyone’s convenience, removing the barriers that keep about half of the people from getting tested on time.

With an impressive 94% accuracy (sensitivity and specificity), our technology has been shown to be effective even in early-stage cancer detection, which can significantly increase treatment options and survival rates.
By harnessing the science of scent, NDA, AI HealthTech platform identifies cancerous VOCs in exhaled breath. This smart technology enables more frequent testing of wider audiences at a fraction of the cost, ultimately saving lives and improving clinical outcomes globally.

We envision a world where hassle-free pre-screening is the norm. Join us in our mission to make cancer prevention easy, effective, and universally accessible, bringing enhanced quality of life and peace of mind for all.

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