Staff Data Engineer ( Boston or Chicago )
 Forsta | |
 United States, Illinois, Chicago | |
| 1 N Franklin Street (Show on map) | |
 Mar 20, 2025 | |
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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: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood.
Duties & Responsibilities Design and implement processes, systems and automation to streamline the development and deployment of AI solutions. Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies. Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems. Deploy ML models, LLMs and GenAI systems 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 and managing a variety of database technologies. 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 data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Knowledge of conversational AI, agent-based systems, and chat interface development. Proven track record in deploying and maintaining ML and AI solutions in a production setting. Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows. Experience with MLOps. Experience with Databricks is a plus. Qualifications Minimum Qualifications 5+ years of experience in platform engineering with a focus on with a focus on data and ML systems. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: 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 $100,000 to $140,000. 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/ | |