Machine Learning Engineer III

Responsibilities

• Design, develop, and implement machine learning and deep learning models to optimize hospital operations, including patient flow, resource allocation, and bed management.
• Build and optimize data ingestion and modeling pipelines to handle large-scale healthcare datasets.
• Collaborate with cross-functional teams of data scientists, software engineers, and clinicians to develop high-impact solutions.
• Monitor, troubleshoot, and enhance deployed models using MLOps best practices to ensure effectiveness in clinical environments.
• Ensure strict adherence to data privacy and security regulations, including HIPAA and GDPR.
• Mentor junior engineers and data scientists on machine learning techniques relevant to healthcare.
• Write technical architectural and design documentation.

Requirements

• Proven experience in end-to-end design and deployment of machine learning models from ideation to production.
• Strong programming skills in Python or R.
• Proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Expertise in NLP, computer vision, or other specialized machine learning techniques.
• Experience with SQL and managing large, complex datasets (e.g., class-imbalances, sparse matrices).
• Experience with cloud platforms (AWS, Azure, or GCS) and database management systems (e.g., PostgreSQL, MongoDB, or SQL Server).
• Proficiency with version control software like Git.
• Experience working within Agile development methodologies.
• Bachelor's degree in Computer Science, Data Science, or a related field with 7+ years of experience (or Master's/PhD with 5+ years of experience).

Preferred Qualifications

• Experience working specifically with healthcare data, EHRs, or clinical workflows.
• Knowledge of infrastructure tools such as Terraform, CloudFormation, or Ansible.
• Familiarity with real-time processing in hospital environments.

Benefits

• Medical, dental, and vision plans (100% paid for employees and family members without coverage).
• 401(k) retirement savings.
• Paid Time Off and paid parental leave.
• Tuition reimbursement.
• Flexible Spending Accounts (Medical, Dependent Care, and Transportation).
• Life and AD&D insurance.
• Military paid leave.

About the Company

TeleTracking Technologies, Inc. builds groundbreaking technology designed to improve healthcare operations. Driven by the belief that no one should wait for the care they need, our solutions help the nation's largest healthcare systems optimize patient care and operational efficiency.