Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 30 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Data Science - General Experience, React (Capable), Python for Data Science (Strong),
Good To Have Skills : Generative AI Fundamentals (Strong), FastAPI (Strong),
Job Description : Overall 8+ years of experience in engineering, machine learning & LLMs - 6+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications
- 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks
- Excellent communication skills, with the ability to explain complex technical concepts to various audiences
- Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization
- Advanced proficiency in Python for data science, engineering & LLMs
- Highly curious technically to evaluate & test new technologies in Gen AI space
- Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines
- Experience with leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs
- Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex) - Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. - Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re-rankers etc.),
Expertise in implementing RAG systems that combine knowledge bases - Experience with multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem
-solving scenarios
- Experience in working with variety of data bases (SQL, no SQL) , APIs & microservices development
- Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products
- Experience in constructing and querying knowledge graphs including graph-based reasoning. -
Experience in front end development technologies (e.g. REACT) would be good to have
Nagarro Sydney, New South Wales, AUS Office
Level 35, Tower One Barangaroo, International Towers Sydney, 100, Barangaroo Ave, Barangaroo,, Sydney, NSW , Australia, 2000
