Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 1-3 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members. 

Essential functions of the job include but are not limited to:

• Configure client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Update client-facing applications exactly as per requirements gathered by engagement teams and follow the Medical, Legal, Regulatory (MLR) guidelines in this process.
• Represents the Application Operations / Development team on all active projects.
• Participates in the daily application operations / development stand-up meetings.
• Follows established procedures for change management across applications where changes are necessary.
• Documents and maintains the application operations / development standard operating procedures.
• Creates WIKI articles for common processes that are repeated and can be shared with others.
• Coordinate with Application Development Team to successfully deploy software releases in both User Acceptance Testing and Production environments.
• Setup environments for all new implementations.
• Configure Single Sign On integrations for client builds.
• Support the development of product unit tests that will be used for future application regression testing.
• Measures application development key performance indicators, for example: bug density, sprint analysis, test coverage, etc.

Future functions of the job include but are not limited to:

• Work with the Product Team to implement new application enhancements and features.
• Ensures all application changes are made in accordance with life-cycle methodology and risk guidelines.
• Interact with end users, internal users, development vendors, data analysts, and other engagement team members.

Minimum Required:

• Bachelors in technology/Engineering (Computer Science or equivalent)
• 2-4 years of experience in related field and working as an application engineer/developer/support (level 1/2)
• Strong grasp on GIT fundamentals and experience with day-to-day usage
• Hands on knowledge of the following tools and technologies: SQL Server, Windows, HTML, CSS, JavaScript, jQuery
• Experience with an Agile Development Lifecycle
• Experience in web application configuration and templating.
• Operational knowledge of Team Foundation Server, or AzureDevOps and Octopus
• Knowledge of continuous integration and deployment methodologies
• Experience with Veeva or Salesforce is a plus

Other Required:

• Working knowledge of US Healthcare / Market Access would be an advantage.
• Azure hosting components
• May require travel domestically and/or internationally including overnight stays up to 5%”

Preferred:

• Experience with Azure DevOps or other CI/CD pipeline tool
• Knowledge of React, Angular, .NetCore
• Working knowledge of one or more EHR software systems such as, Epic and Cerner
• Healthcare standards ex: HL7, SMART on FHIR
• Enterprise application design scalable design
• Experience with Workflow engines
• Experience with Message Queue platforms
• Experience in web application development

Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Position Summary:

Precision AQ’s Product Solutions team is expanding its AI and machine learning engineering capabilities in India. This role is responsible for designing, developing, deploying, and scaling production-grade AI/ML solutions that directly support Precision AQ products and productized services across oncology access, analytics, and AI-enabled offerings.

The AI/ML Engineer operates as a hands-on technical contributor, working closely with product management, engineering, data science, and research teams to translate business problems into robust, scalable AI systems. The role spans model development, optimization, deployment, and operationalization, with a strong emphasis on Generative AI, Large Language Models (LLMs), and applied machine learning in real-world production environments.

The successful candidate is technically rigorous, execution-oriented, and comfortable operating in fast-paced, multi-product environments with evolving requirements.

Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)

1. AI / ML Model Development & Optimization

• Design, develop, fine-tune, and evaluate machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).
• Apply appropriate modeling techniques (supervised, unsupervised, NLP, deep learning) based on problem context and data constraints.
• Optimize model performance across accuracy, latency, scalability, and cost dimensions.
• Conduct rigorous model evaluation, validation, and benchmarking using large-scale datasets.
• Apply data preprocessing, feature engineering, augmentation, and synthetic data generation techniques to improve model robustness.

1. Production Deployment & MLOps

• Design and implement scalable, production-ready AI solutions integrated into existing platforms and workflows.
• Build, maintain, and improve MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Deploy and manage AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration where applicable.
• Monitor model performance in production; identify drift, degradation, or failures and implement remediation strategies.
• Troubleshoot and resolve AI/ML engineering issues across development and production environments.

1. Cross-Functional Collaboration & Integration

• Partner with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to align AI solutions with business and product objectives.
• Translate product requirements and use cases into technical architectures and model designs.
• Support integration of AI capabilities into customer-facing products and internal platforms.
• Communicate technical concepts, tradeoffs, and limitations clearly to non-technical stakeholders.

1. Data & Domain Application

• Work with structured and unstructured datasets, including healthcare, claims, and life sciences data, to build high-performance AI systems.
• Ensure responsible handling, transformation, and validation of data used for model training and inference.
• Collaborate with data engineering and QA teams to ensure data pipelines and AI workflows are production-ready and auditable.

1. Technical Excellence & Continuous Improvement

• Stay current with advances in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.
• Contribute to internal best practices, standards, and reusable components for AI/ML development.
• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.
• Proactively identify opportunities to improve scalability, reliability, and efficiency of existing AI systems.

Qualifications:

BA Degree in Computer Science, Software Engineering, Operations Engineering, Business Management or other related field

Minimum Required:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3+ years of hands-on experience in an AI/ML or data science role delivering production-deployed solutions.
• Strong proficiency in Python and SQL; experience building scalable ML/NLP workflows.
• Deep hands-on experience with machine learning, deep learning, and natural language processing.
• Experience working with Generative AI and Large Language Models, including fine-tuning and evaluation techniques.
• Working knowledge of data preprocessing, feature engineering, and model validation practices.
• Experience deploying AI solutions in cloud environments (Azure, AWS, or GCP).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Preferred:

• Experience building AI solutions in healthcare, life sciences, analytics, or regulated data
• Hands-on experience with MLOps frameworks and monitoring strategies.
• Experience integrating AI models into SaaS products or productized services.
• Familiarity with distributed systems, APIs, and modern software engineering practices.
• Exposure to enterprise AI governance, security, or compliance considerations.

Competencies:

• Communication Skills: Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner.
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific.
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills.
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects. Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project.
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle.