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.

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