Machine Learning Engineer

TeleTracking Technologies, Inc.
Pittsburgh, United States of America
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Pittsburgh, United States of America

Tech stack

A/B testing
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Big Data
Hospital Information Systems
Cloud Computing
Computer Programming
Databases
Software Design Documents
Software Design Patterns
Amazon DynamoDB
Python
PostgreSQL
Machine Learning
Mercurial
Microsoft SQL Server
Team Foundation Server
MongoDB
MySQL
Operational Data Store
Oracle Applications
Ansible
TensorFlow
Software Engineering
Subversion
Unstructured Data
User-Centered Design
Scripting (Bash/Python/Go/Ruby)
Freeform SQL
Data Ingestion
PyTorch
GIT
Cloudformation
Scikit Learn
Information Technology
Machine Learning Operations
Terraform
Domain Driven Design
Software Version Control

Job description

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, especially when working with sensitive hospital data.
  • 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., If you have a website and would like us to review it, please include it in your application. Are you at least 18 years old?* Select... Can you provide proof that you are authorized to work in the United States?* Select... Will you now or in the future require immigration sponsorship by our company to attain or maintain your employment eligibility (e.g., H-1B, E-3, TN, O-1, STEM OPT EAD, or any immigration work authorization requiring a written submission from the company to a government agency)? * Select... Do you have a non-compete, non-disclosure, non-solicitation agreement or any other post-employment agreement?* Select... Have you worked with cloud-based services?* Select... Have you worked with CI/CD Pipelines?* Select... Did someone refer you to apply to this role?* Select...

Did someone who works at TeleTracking urge you to apply? If you were referred, who was the individual that referred you? What are your salary expectations?* Select... Is there anything else you'd like us to know about you? This role will sit onsite in our office. Are you committed to work in an office setting 5 days a week?* Select...

Requirements

  • 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 and 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., * 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 PhD 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 & conditions

  • Medical/dental/vision plans 100% paid for employees and family members without coverage, 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

About the company

TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it's a promise to continually improve healthcare. TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation's largest healthcare systems and around the world to positively impact patients, families and communities. What's your contribution to the TeleTracking story? When you chose to bring your passion and skills to helping achieve our purpose, you'll be part of a team that understands that there's a human life behind every data point. Your skills, curiosity, and compassion-will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare., As set forth in TeleTracking Technologies, Inc.'s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select...

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