ServiceNow PM & Full Stack AI Engineer & AIML (Gen AI) Claud and Python (3 Positions)
Job Location:
Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
23 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Title: ServiceNow Program Manager
Location: Dallas TX
Location: Dallas TX
Required Skills: ServiceNow CMDB CSDM and PMP Certifications
Job description:
- Bachelors degree in computer science Information Technology or a related field
- 12 years of experience in Program or Project Management within enterprise environments.
- 5 years of ServiceNow project delivery with deep exposure to CMDB ITOM and ITSM.
- Proven experience managing cross-functional programs with regulatory and enterprise impact.
- Strong understanding of:
- ServiceNow CMDB architecture and data models
- CSDM concepts and service modeling
- Discovery Service Mapping integrations and data quality governance
- Ability to link CMDB strategy to business outcomes such as resilience automation risk reduction and decision support.
- PMP PgMP or equivalent program management certification.
- ITIL v4; ServiceNow CMDB / ITOM certifications preferred.
Title: Full Stack AI Engineer
Location: Washington DC
Location: Washington DC
Required Skills: Strong expertise in AI/ML SQL Python GEN AI and Azure
We are looking for a seasoned Pharma Marketing Techno-Functional Domain Expert to support a West Coast-based pharmaceutical client. This is a senior-level role requiring deep expertise in life sciences marketing data HCP analytics and enterprise data platforms. The ideal candidate understands how the US pharma marketing ecosystem works from a data perspective and can support business needs across HCP360 and the Marketing Data Hub.
Job description:
Proven expertise (5 years) in full-stack AI engineering including design development and deployment of AI-powered applications.
Strong proficiency in Python for AI/ML model development orchestration and integration.
Advanced React skills for building dynamic GenAI-enabled user interfaces.
Extensive experience with Azure cloud services (e.g. Storage Azure OpenAI Azure DevOps Service Bus Azure Functions etc).
Demonstrated knowledge in implementing Responsible AI practices (explainability bias mitigation governance ethical AI).
Hands-on experience with LLMs (e.g. GPT-based models) GenAI frameworks or Copilot tools for AI-augmented development workflows.
Familiarity with cloud-native development and CI/CD automation.
Strong background in modern application architecture API design and secure integration of AI services.
Familiarity with agile methodologies version control (Git/Azure DevOps) and collaborative project delivery in cross-functional teams.
Knowledge in Angular Azure Full stack RESTful microservices and Pega
Strong proficiency in Python for AI/ML model development orchestration and integration.
Advanced React skills for building dynamic GenAI-enabled user interfaces.
Extensive experience with Azure cloud services (e.g. Storage Azure OpenAI Azure DevOps Service Bus Azure Functions etc).
Demonstrated knowledge in implementing Responsible AI practices (explainability bias mitigation governance ethical AI).
Hands-on experience with LLMs (e.g. GPT-based models) GenAI frameworks or Copilot tools for AI-augmented development workflows.
Familiarity with cloud-native development and CI/CD automation.
Strong background in modern application architecture API design and secure integration of AI services.
Familiarity with agile methodologies version control (Git/Azure DevOps) and collaborative project delivery in cross-functional teams.
Knowledge in Angular Azure Full stack RESTful microservices and Pega
Title: AIML (Gen AI) - Claud and Python
Location: Austin TX
Required Skills: Strong expertise in AIML (Gen AI) Claud and Python
Job description:
- Bachelors degree in computer science Information Technology or a related field
- Strong backend engineering experience (e.g. Python APIs cloud infrastructure).
- Hands-on experience with machine learning - model development training pipelines and/or ML-based feature building.
- Ability to work independently and integrate with an existing engineering team
- Familiarity with modern ML frameworks (e.g. PyTorch TensorFlow scikit-learn) and data tooling
- Strong communication skills to collaborate across cross-functional teams
