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 (19000+ experts across 33 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 Proficiency in Python and all associated DS libraries and frameworks.
Strong knowledge in AI, machine learning, and natural language processing.
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).
Experience with multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios.
Experience with unstructured.io or similar libraries for handling various document formats and extracting structured information from unstructured data.
Expertise in using Llama Index for building and querying knowledge bases, including its data connectors, indexing strategies, and query engines.
Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
Proficiency in generating and working with text embeddings using models like BERT, GPT, or domain-specific embedding models.
Understanding of embedding spaces and their applications in semantic search and information retrieval.
Experience in constructing and querying knowledge graphs, including technologies like Neo4j or RDF triplestores.
Understanding of ontology design and graph-based reasoning.
Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.).
Expertise in implementing RAG systems that combine knowledge bases with generative AI models.
Qualifications Must have Skills: Python for Data Science (Capable).
Good To Have Skills: Machine Learning on AWS (Capable), Generative AI Fundamentals (Capable).
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