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

- 4+ 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