About us

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. 

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, 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.

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 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.

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 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.

About us

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 choose to bring your passion and skills to help 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. 

About the role

The Director of Data Engineering is responsible for defining and executing the long-term technical strategy of the enterprise data platform while ensuring reliable, secure, and scalable day-to-day operations. This role combines deep technical leadership, architecture ownership, client engagement, cross-functional collaboration, and team management.

What you will do

Architecture & Delivery Oversight

• Oversee the design, development, and delivery of data pipelines, platform enhancements, and large-scale data solutions.
• Review engineering designs, remove technical blockers, and lead architectural decision-making.
• Ensure all technical solutions support scalability, performance, reliability, and cost-efficient operations.

Strategy & Platform Architecture

• Define the long-term data platform vision, including data lake/warehouse strategy, governance frameworks, data modeling, and technology tooling.
• Drive strategic alignment between platform architecture and organizational goals.
• Establish and enforce architectural standards ensuring consistency and future platform growth.

Technical Leadership

• Own the overall technical strategy while managing critical operational priorities.
• Define and approve technical and behavioral acceptance criteria.
• Participate in client VOC discussions to gather requirements.
• Lead architecture and system design reviews.
• Guide engineering best practices.
• Drive cloud cost-optimization efforts.
• Partner with business leaders to define ROI and platform investment impact.
• Develop and manage budget for the department, including employee, contractor and cloud spending.

Stakeholder & Cross-Functional Collaboration

• Collaborate with product, analytics, ML, engineering, and executive leadership.
• Translate business objectives into scalable technical solutions.
• Influence roadmap prioritization based on business and technical needs.
• Participates in focused technical discussions with key clients.

Vendor Management

• Act as a technical and business liaison with vendors.

Operations, Governance & Optimization

• Ensure platform reliability, data quality, observability, and compliance.
• Lead governance activities including audits and access reviews.
• Serve as the ISO audit point of contact.

People Leadership & Team Management

• Hire, mentor, and develop data engineering talent.
• Establish performance expectations and foster a culture of quality and accountability.

What we look for

• 7 + years of experience in data architecture, cloud-based data infrastructure, distributed systems, and building reliable data pipelines that support analytics and AI/ML workloads.
• Strong expertise in data architecture, cloud data platforms, and building scalable data pipelines using technologies such as AWS/Azure/GCP, Snowflake, Databricks, or Spark.
• Experience building and operating large-scale data pipelines.
• Proven engineering leadership and cross-functional collaboration skills.
• Experience aligning data strategy with business outcomes.
• Experience in regulated industries such as healthcare or education. (preferred)
• Background in cloud cost optimization and platform modernization. (preferred)

Education

• Bachelor's in computer science, computer information or any related discipline with equivalent combination of work and experience. (required)
• Master's in computer science, computer information or any related discipline (preferred)

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