Machine Learning Consultant

Suzy is the AI-powered, mobile-first research platform revolutionizing how brands connect with consumers. Our mission is to make human understanding instant — combining real-time data, AI, and mobile-first engagement to help organizations make smarter decisions, faster.

As we build our next-generation AI intelligence layer, we’re seeking a Machine Learning Contractor who will design and implement the data and intelligence frameworks that power Suzy’s future. This is a rare opportunity to architect and operationalize the foundation for a product redefining how consumer insights are captured, organized, and delivered.

The Role

The Machine Learning Contractor will own the process of structuring, enriching, and connecting Suzy’s data — making it intelligent, retrievable, and ready for AI-driven applications. You’ll work closely with engineering, AI, and research teams to transform our vast qualitative and quantitative datasets into a unified, queryable system powering “The Brain,” Suzy’s next-generation knowledge platform.

This role blends applied machine learning, data engineering, and AI systems design — ideal for someone who thrives on building real, production-grade intelligence systems rather than just recommending them.

The hourly rate for this engagement starts at $85/hr. Must have your own legal entity.

What You’ll Do

• 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.

What You’ll Bring

• 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.
  

Bonus Points

• 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.
  

Suzy is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to ensure all people feel supported and connected at work.

Suzy is committed to protecting its customers, employees, partners, and the company as a whole, from damaging acts that are intentional or unintentional. Effective security is a team effort involving the participation and support of every user who interacts with company information/data and systems. It is the responsibility of each individual to help protect company information assets.

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