Machine Learning Engineer III

Teletrackingtechnologiesinc; Pittsburgh (Allegheny County); On-site; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/vision premiums paid 100%

Tuition Reimbursement

401(k) Retirement Savings

Job summary

TeleTracking Technologies is looking for a Senior Machine Learning Engineer in Pittsburgh, United States. The role involves designing and implementing machine learning models to optimize patient care and operational efficiency in healthcare settings.

The successful candidate should have extensive experience in machine learning, solid programming skills in Python or R, and a background in healthcare data management. The position offers benefits including medical premiums paid 100% and a 401(k) retirement plan.

Qualifications

• Proven experience in end-to-end design and deployment of machine learning models.
• Strong programming skills with Python or R.
• Deep knowledge of working with large datasets.

Responsibilities

• Design, develop, and implement machine learning models for hospital challenges.
• Collaborate with cross-functional teams.
• Monitor and enhance performance using MLOps best practices.

Skills

Machine Learning

Python

Data Modeling

NLP

SQL

Cloud Services

Education

Bachelor's degree in Computer Science or related field

Master's/Ph.D. in relevant fields (preferred)

Tools

TensorFlow

PyTorch

AWS

Oracle

git

Job description

About the role

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements such as HIPAA or GDPR. The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency.

What you will do

• Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
• Build and optimize data ingestion and modeling pipelines as needed.
• Utilize domain-driven techniques and design patterns to build and contribute to technical design.
• Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
• Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
• Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR.
• Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
• Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
• Write technical architectural and design documents.

What we look for

• Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
• Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
• Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
• Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.).
• Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
• Comfortable writing complex SQL queries and developing python packages.
• Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure.
• Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL.
• Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion.
• Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
• Experience with agile development practices.
• Excellent written and oral communication skills. Adept at presenting complex topics, influencing, and executing with timely actionable follow-through.
• Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
• Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
• Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
• Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.

Education

• Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Benefits

• Employee Medical/dental/vision premiums paid 100% - family members without coverage Medical 100% - small cost for dependents on dental and vision, which start from day one!
• Life and AD&D
• Flexible Spending Accounts: Medical, Dependent Care, and Transportation
• 401(k) Retirement Savings
• Tuition Reimbursement
• Military Paid Leave (up to 6 months of base salary while on military leave)
• Paid Time Off
• Paid parental leave

Disclaimer:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions of the position. The term "qualified individual with a disability" means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.

TeleTracking is an Equal Opportunity/Affirmative Action employer. TeleTracking recruits qualified applicants without regard to race, color, religion, gender, age, ethnic or national origin, veteran status, physical or mental disability, genetic information, sexual orientation or preference, gender identity, marital status, or citizenship status.