AI​/ML Engineer

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, Dev Ops, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.

We are seeking an experienced AI/ML & Knowledge Modeling Consultant to support clinical protocol digitization initiatives through advanced automation, knowledge modeling, and standards-driven data transformation. The role focuses on enabling structured, machine-readable clinical protocol data, automated validation, and intelligent workflow enablement.

The consultant will work closely with domain experts, data architects, and application teams to design and implement intelligent solutions for protocol automation and interoperability across clinical platforms.

• Implement human-in-the-loop automation frameworks.
• Design and manage ontology navigation and graph modeling solutions.
• Develop and maintain knowledge graphs and study structure models.
• Implement USDM integration and mapping strategies.
• Configure and manage CDISC standards mapping.
• Lead schema digitization for protocol elements.
• Model inclusion and exclusion criteria into structured data formats.
• Implement automated validation rules for protocol consistency and compliance.
• Enable generation and transformation of USDM JSON outputs.
• Develop automated validation workflows for study configurations.
• Implement automated data conversion pipelines.
• Support study metadata extraction and transformation processes.
• Support Schedule of Assessments (eSOA) digitization workflows.
• Implement protocol automation capabilities supporting downstream systems.

• Strong experience in AI/ML-enabled automation solutions.
• Experience with knowledge graph and ontology modeling.
• Understanding of clinical study data standards such as USDM and CDISC.
• Experience in data transformation and validation pipeline implementation.
• Ability to model complex clinical workflows and study metadata.
• Experience working with structured and semi-structured healthcare or life sciences data.
• 6–12 years of experience in AI/ML, data modeling, or clinical data engineering roles.
• Experience in healthcare, life sciences, or regulated environments preferred.
• Strong analytical and modeling skills.
• Cross-functional collaboration capability.
• Strong documentation and communication skills.

• Experience in clinical trial platforms or protocol digitization initiatives.
• Knowledge of semantic web technologies or graph databases.
• Experience with automated workflow orchestration.
• Familiarity with healthcare interoperability standards.

Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK (for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace.

We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants…