Press Ganey Associates, LLC
Staff AI/ ML Engineer
Press Ganey Associates, LLC, Chicago, Illinois, United States, 60290
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
To
elevate the human experiences
at the heart of business by offering insights that
sharpen understanding
of the needs of individuals and populations, and
provide guidance
on how to meet those needs. We partner clients to gather the voice of consumers and the workforce to gain insights that address unmet needs. Through the use of integrated data, advanced analytics and strategic advisory services, we are helping clients transform their organizations to deliver high quality services and lifetime loyalty. Our Values: Champion the Client We demonstrate an unwavering passion for delivering high-quality solutions and service. We commit to understanding the goals and needs of our clients. We always look for opportunities to improve and create value. Each of us understands our role in enabling client success. All Together Better We are united by the common purpose of our vision and mission. We promote teamwork and a culture of belonging by building strong relationships and fostering trust. We collaborate to identify and develop innovative solutions. Embrace Change We recognize that change is constant and presents opportunities to learn, adapt, and evolve. We seek creative solutions to challenges and pursue them with optimism and enthusiasm. Do the Right Thing We demonstrate commitment to all our stakeholders, including clients, staff, and partners. We take personal accountability for our responsibilities and actions. We do right by each other by acting with honesty and kindness. We provide meaningful recognition and feedback to others. Job Description
Press Ganey is looking to hire a self-motivated Staff ML Engineer with NLP and GenAI experience. The Senior Machine Learning Engineer will play a crucial role in designing, deploying, and enhancing state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating intelligent, interactive, and scalable systems using agentic frameworks and chat interfaces to deliver a seamless user experience. The ideal candidate will have a strong background in natural language processing, deep learning, and deployment practices, as well as experience building robust machine learning (ML) systems that power conversational AI applications. Duties & Responsibilities Design and deploy LLMs and GenAI systems, optimizing for scalability, performance, and response quality. Deploy machine learning models into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments. Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process. Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation. Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications. Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling. Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces. Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints. Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance. Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration. Technical Skills Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP. Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments. Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn. Experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask. Knowledge of conversational AI, agent-based systems, and chat interface development. Proven track record in working with LLMs and conversational interfaces in a production setting. Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows. Experience with MLOps. Familiarity with Databricks is a plus. Qualifications
Minimum Qualifications 5+ years of experience in machine learning, with a focus on NLP, generative AI, or agentic systems. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Additional Information Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $130,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here:
https://www.pressganey.com/legal-privacy/
#J-18808-Ljbffr
elevate the human experiences
at the heart of business by offering insights that
sharpen understanding
of the needs of individuals and populations, and
provide guidance
on how to meet those needs. We partner clients to gather the voice of consumers and the workforce to gain insights that address unmet needs. Through the use of integrated data, advanced analytics and strategic advisory services, we are helping clients transform their organizations to deliver high quality services and lifetime loyalty. Our Values: Champion the Client We demonstrate an unwavering passion for delivering high-quality solutions and service. We commit to understanding the goals and needs of our clients. We always look for opportunities to improve and create value. Each of us understands our role in enabling client success. All Together Better We are united by the common purpose of our vision and mission. We promote teamwork and a culture of belonging by building strong relationships and fostering trust. We collaborate to identify and develop innovative solutions. Embrace Change We recognize that change is constant and presents opportunities to learn, adapt, and evolve. We seek creative solutions to challenges and pursue them with optimism and enthusiasm. Do the Right Thing We demonstrate commitment to all our stakeholders, including clients, staff, and partners. We take personal accountability for our responsibilities and actions. We do right by each other by acting with honesty and kindness. We provide meaningful recognition and feedback to others. Job Description
Press Ganey is looking to hire a self-motivated Staff ML Engineer with NLP and GenAI experience. The Senior Machine Learning Engineer will play a crucial role in designing, deploying, and enhancing state-of-the-art large language models (LLMs) and generative AI solutions. This position focuses on creating intelligent, interactive, and scalable systems using agentic frameworks and chat interfaces to deliver a seamless user experience. The ideal candidate will have a strong background in natural language processing, deep learning, and deployment practices, as well as experience building robust machine learning (ML) systems that power conversational AI applications. Duties & Responsibilities Design and deploy LLMs and GenAI systems, optimizing for scalability, performance, and response quality. Deploy machine learning models into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments. Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process. Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation. Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications. Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling. Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces. Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints. Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance. Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration. Technical Skills Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP. Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments. Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn. Experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask. Knowledge of conversational AI, agent-based systems, and chat interface development. Proven track record in working with LLMs and conversational interfaces in a production setting. Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows. Experience with MLOps. Familiarity with Databricks is a plus. Qualifications
Minimum Qualifications 5+ years of experience in machine learning, with a focus on NLP, generative AI, or agentic systems. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Additional Information Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class. Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $130,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here:
https://www.pressganey.com/legal-privacy/
#J-18808-Ljbffr