Freelance Data Scientist

Job OverviewWe are looking for an experience Freelance Data Scientist to join a high-performing engineering team working on scalable products for global enterprise clients.This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income.Company BackgroundWe are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development.Key ResponsibilitiesDesign and develop AI/ML models and intelligent systems for real-world applications.Build and integrate LLM-based applications using modern AI frameworks.Design AI-driven system architectures, ensuring scalability and performance.Develop and manage knowledge graphs to represent complex data relationships.Work with ontology modeling for structured knowledge representation.Integrate machine learning models with production systems and APIs.Evaluate model performance, system design trade-offs, and optimization strategies.Collaborate with engineering, data, and product teams to implement AI solutions.Contribute to AI architecture discussions and technical design decisions.Required Skills & ExperienceStrong understanding of Machine Learning and Deep Learning concepts.Hands-on experience working with Large Language Models (LLMs).Experience building AI-powered applications or intelligent systems.Knowledge of Knowledge Graphs and Graph-based data modeling.Experience with Ontology design and semantic data modeling.Familiarity with AI frameworks such as PyTorch, TensorFlow, or similar.Strong understanding of system architecture and design principles for AI systems.Ability to reason through implementation trade-offs and scalability considerations.Strong problem-solving and analytical skills.Preferred SkillsExperience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.).Familiarity with Graph Databases (Neo4j, RDF stores, etc.).Experience in semantic web technologies (RDF, OWL, SPARQL).Experience deploying AI models in production environments.Exposure to vector databases and retrieval-augmented generation (RAG).Engagement DetailsCommitment: ~35 hours per week with predictable workload and clear deliverablesWork Model: 100% remote engagement from our sideCompensation: Monthly payouts with a transparent pay cycleTenure: Long-term engagement for high performers; continuity and stability assuredEligibility: Open only to professionals currently working in a full-time remote role (validated during screening)Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership

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