Suzy · 3 days ago
Machine Learning Consultant
Suzy is the AI-powered, mobile-first research platform revolutionizing how brands connect with consumers. They are seeking a Machine Learning Contractor to design and implement data and intelligence frameworks that will power Suzy’s future, focusing on structuring and enriching data for AI-driven applications.
Artificial Intelligence (AI)Business IntelligenceCrowdsourcingMarket ResearchProduct ResearchSaaSSoftware
Responsibilities
Design and implement data structures, embeddings, and taxonomies that enable efficient retrieval and contextualization of diverse datasets
Develop and maintain pipelines for ingestion, transformation, enrichment, and indexing — ensuring data is clean, discoverable, and ready for AI consumption
Build RAG (Retrieval-Augmented Generation) and semantic search pipelines using frameworks such as LangChain, LangGraph, or LangFuse, integrating structured and unstructured data
Implement automated tagging, entity recognition, and classification pipelines using Python, ML, and NLP techniques
Collaborate with AI and product teams to determine how insights should be surfaced and contextualized for 'The Brain.'
Prototype, test, and deploy retrieval and intelligence systems that connect insights to natural language queries in real time
Partner with engineers to integrate ML and retrieval systems into production APIs and applications
Contribute to Suzy’s evolving data ontology and knowledge graph, defining how knowledge is linked across qualitative and quantitative sources
Qualification
Required
5–10 years of experience in Machine Learning, Applied AI, or Data Engineering
Strong Python expertise, with hands-on experience using Pandas, NumPy, scikit-learn, PyTorch, or similar frameworks
Experience with LangChain, LangGraph, or LangFuse, and the ability to build and maintain RAG pipelines
Experience with large-scale mixed datasets, including both quantitative (structured) and qualitative (textual, unstructured) data
Deep understanding of embeddings, vector databases, and semantic search systems (e.g., FAISS, Weaviate, Pinecone, or Milvus)
Proficiency in data modeling, schema design, and ontology/taxonomy development for complex knowledge representation
Hands-on implementation experience — capable of taking ideas from concept to working system
Experience with SQL/NoSQL databases, data pipelines (Airflow, dbt, or similar), and API design for ML systems
Comfort working in a fast-paced, experimental environment, balancing iteration with production readiness
A builder's mindset — curiosity, creativity, and a drive to make data smarter, more accessible, and more actionable
Preferred
Experience using Databricks for data processing, vectorization, or ML workflows
Experience with LLM-powered retrieval and generation systems, including fine-tuning, evaluation, or orchestration
Background in knowledge graph development or ontological modeling
Familiarity with mobile-first architectures and data collection patterns
Prior experience in consumer insights, analytics, or SaaS data platforms
Company
Suzy
Suzy is a technology platform that harnesses collective insights from millions of consumers worldwide to deliver real-time intelligence.
H1B Sponsorship
Suzy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (10)
2023 (3)
2022 (5)
2021 (10)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$99.1MKey Investors
H.I.G. CapitalRho Ventures1745 Ventures
2021-07-28Series D· $50M
2020-09-01Series C· $16M
2020-02-04Series C· $12M
Recent News
2025-09-17
2025-05-07
Company data provided by crunchbase