Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4347346924&distance=25&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true&sortBy=R&start=675 Job Description: uzy Share Show more options Machine Learning Consultant  United States · Reposted 12 minutes ago · Over 100 people clicked apply Promoted by hirer · Responses managed off LinkedIn $85/hr Remote Matches your job preferences, workplace type is Remote. Full-time Apply Save Save Machine Learning Consultant  at Suzy Did you apply? Let us know, and we’ll help you track your application. Yes No Machine Learning Consultant Suzy · United States (Remote) Apply Save Save Machine Learning Consultant  at Suzy Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job 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.