ABOUTUS
Billigence Pty Ltd is a specialist in the delivery of market leading Business Intelligence and CRM solutions. Headquartered in Sydney Australia and with offices in Prague London Frankfurt and Singapore our passion is data and our focus is the delivery of end-to-end solutions via a talented team of skilled professionals.
We are partners with leading edge software platforms including Tableau Alteryx Collibra Snowflake GCP and Salesforce.
Key Responsibilities
- Architect and develop scalable GenAI pipelines APIs and microservices for real-time and batch AI applications using frameworks such asFastAPI Ray or LangServe.
- Design robust prompt strategies for instruction-following reasoning and multi-turn conversations with a focus on RAG architectures for personalized domain-specific use cases.
- Lead embedding model selection and tuning to optimize semantic search and RAG performance.
- Oversee LLM Ops workflows including model orchestration evaluation deployment rollback strategies and monitoring in production environments.
- Drive model fine-tuning efforts to customize LLMs for proprietary datasets and regulated industries.
- Establish and govern AI testing frameworks covering functional testing regression testing hallucination detection safety filters and output quality assessment.
- Implement enterprise-grade observability lineage tracking and CI/CD automation using tools such asMLflow Databricks Azure ML or Vertex AI.
- Lead continuous improvement initiatives based on telemetry user feedback and cost-performance trade-offs.
- Demonstrate expertise inPython with deep proficiency in GenAI frameworks vector search systems and MLOps toolchains.
Qualifications
- Minimum 5 years experience architecting and deploying scalable AI/ML and GenAI solutions in enterprise environments.
- Deep expertise in machine learning deep learning and generative AI technologies including hands-on experience with frameworks likeTensorFlow PyTorch and modernLLMorchestration tools.
- Strong familiarity with cloud platforms (AWS Azure GCP) and MLOps practices for end-to-end machine learning lifecycle management.
- Demonstrated leadership in managing agile cross-functional teams and collaborating with stakeholders.
- Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field; advanced degrees or certifications (e.g. Azure AI Engineer) are advantageous.
- Experience with personalization recommendation systems or conversational AI is highly desirable.
If this sounds like something you are interested in please apply with your most up-to-date CV and we will be in touch!
Onlysuccessfulcandidateswillbecontacted.
Required Experience:
Senior IC
ABOUTUSBilligence Pty Ltd is a specialist in the delivery of market leading Business Intelligence and CRM solutions. Headquartered in Sydney Australia and with offices in Prague London Frankfurt and Singapore our passion is data and our focus is the delivery of end-to-end solutions via a talented te...
ABOUTUS
Billigence Pty Ltd is a specialist in the delivery of market leading Business Intelligence and CRM solutions. Headquartered in Sydney Australia and with offices in Prague London Frankfurt and Singapore our passion is data and our focus is the delivery of end-to-end solutions via a talented team of skilled professionals.
We are partners with leading edge software platforms including Tableau Alteryx Collibra Snowflake GCP and Salesforce.
Key Responsibilities
- Architect and develop scalable GenAI pipelines APIs and microservices for real-time and batch AI applications using frameworks such asFastAPI Ray or LangServe.
- Design robust prompt strategies for instruction-following reasoning and multi-turn conversations with a focus on RAG architectures for personalized domain-specific use cases.
- Lead embedding model selection and tuning to optimize semantic search and RAG performance.
- Oversee LLM Ops workflows including model orchestration evaluation deployment rollback strategies and monitoring in production environments.
- Drive model fine-tuning efforts to customize LLMs for proprietary datasets and regulated industries.
- Establish and govern AI testing frameworks covering functional testing regression testing hallucination detection safety filters and output quality assessment.
- Implement enterprise-grade observability lineage tracking and CI/CD automation using tools such asMLflow Databricks Azure ML or Vertex AI.
- Lead continuous improvement initiatives based on telemetry user feedback and cost-performance trade-offs.
- Demonstrate expertise inPython with deep proficiency in GenAI frameworks vector search systems and MLOps toolchains.
Qualifications
- Minimum 5 years experience architecting and deploying scalable AI/ML and GenAI solutions in enterprise environments.
- Deep expertise in machine learning deep learning and generative AI technologies including hands-on experience with frameworks likeTensorFlow PyTorch and modernLLMorchestration tools.
- Strong familiarity with cloud platforms (AWS Azure GCP) and MLOps practices for end-to-end machine learning lifecycle management.
- Demonstrated leadership in managing agile cross-functional teams and collaborating with stakeholders.
- Significant experience in prompt engineering and prompt design for LLMs and GenAI applications.
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field; advanced degrees or certifications (e.g. Azure AI Engineer) are advantageous.
- Experience with personalization recommendation systems or conversational AI is highly desirable.
If this sounds like something you are interested in please apply with your most up-to-date CV and we will be in touch!
Onlysuccessfulcandidateswillbecontacted.
Required Experience:
Senior IC
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