The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems. Responsibilities ...
The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems. Responsibilities ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
They are seeking a highly skilled Senior Machine Learning Engineer to develop and optimize machine learning models that improve patient care and operational efficiency in healthcare settings.
They are seeking a highly skilled Senior Machine Learning Engineer to develop and optimize machine learning models that improve patient care and operational efficiency in healthcare settings.
Machine Learning Engineer
Indiana, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Indiana, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Bloomsburg, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Bloomsburg, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Harrisburg, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Harrisburg, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Pittsburgh, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Pittsburgh, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Reading, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Reading, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Allentown, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Allentown, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Erie, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Erie, PA · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Sr Machine Learning Engineer
Pittsburgh, PA · On-site
$101K - $139K/yr
Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...
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Sr Machine Learning Engineer
Pittsburgh, PA · On-site
$101K - $139K/yr
Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...
Principal Machine Learning Engineer Location: Philadelphia, PA (Hybrid - Onsite Tuesdays & Wednesdays) Duration: 6+ Months Contract-to-Hire Employment Type: W2 Work Authorization: Must be authorized ...
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Principal Machine Learning Engineer Location: Philadelphia, PA (Hybrid - Onsite Tuesdays & Wednesdays) Duration: 6+ Months Contract-to-Hire Employment Type: W2 Work Authorization: Must be authorized ...
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Principal Machine Learning Engineer
Philadelphia, PA · On-site
Medical
Dental
Vision
The ideal candidate is an experienced machine learning practitioner who enjoys working directly with data, feature engineering, model development, validation, production scoring, and continuous model ...
Principal Machine Learning Engineer
Philadelphia, PA · On-site
Medical
Dental
Vision
The ideal candidate is an experienced machine learning practitioner who enjoys working directly with data, feature engineering, model development, validation, production scoring, and continuous model ...
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment. Core Responsibilities
Senior Data & Machine Learning Engineer
Malvern, PA · On-site
$128K - $163K/yr
THE OPPORTUNITY AKUVO is seeking a hands-on Senior Data & Machine Learning Engineer to build and own the production lifecycle of our proprietary predictive models and scores. This is a depth role ...
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Senior Data & Machine Learning Engineer
Malvern, PA · On-site
$128K - $163K/yr
THE OPPORTUNITY AKUVO is seeking a hands-on Senior Data & Machine Learning Engineer to build and own the production lifecycle of our proprietary predictive models and scores. This is a depth role ...
Machine Learning Engineer Quantization information
What are some common challenges machine learning engineers face when implementing quantization techniques in production models?
Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.
What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?
To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.
What does a machine learning engineer quantization do?
A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.
What is the difference between Machine Learning Engineer Quantization vs Data Scientist?
| Aspect | Machine Learning Engineer Quantization | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, ML, or related; certifications in ML or AI | Bachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics |
| Work Environment | Developing optimized ML models, deploying quantized models for efficiency | Analyzing data, building predictive models, interpreting results |
| Industry Usage | Tech companies, AI hardware firms, embedded systems | Finance, healthcare, marketing, research institutions |
Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.
What are popular job titles related to Machine Learning Engineer Quantization jobs in Pennsylvania?
For Machine Learning Engineer Quantization jobs in Pennsylvania, the most frequently searched job titles are:
- Senior Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Deep Learning Engineer
- Freelance Edge Ai Machine Learning
- Google Cloud Machine Learning Engineer
- Machine Learning Ai Developer
- Machine Learning Software Engineer
- Manager Remote Machine Learning Engineer
- Machine Learning Engineer New Grad
- Staff Software Engineer Machine Learning
What job categories do people searching Machine Learning Engineer Quantization jobs in Pennsylvania look for?
The top searched job categories for Machine Learning Engineer Quantization jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Engineer Quantization jobs?
Cities in Pennsylvania with the most Machine Learning Engineer Quantization job openings:
Job description
Job Summary:
TeleTracking is dedicated to improving healthcare through groundbreaking technology and deep clinical expertise. The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience.
Company:
TeleTracking Passionate About Optimizing Hospital Operations & PatientFlow. Founded in 1991, the company is headquartered in Pittsburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.
TeleTracking is dedicated to improving healthcare through groundbreaking technology and deep clinical expertise. The Senior Machine Learning Engineer will focus on developing and optimizing machine learning models to enhance patient care and operational efficiency within healthcare systems.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience.
Company:
TeleTracking Passionate About Optimizing Hospital Operations & PatientFlow. Founded in 1991, the company is headquartered in Pittsburgh, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About TeleTracking
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Pittsburgh, PA, US
Year founded
1991