Freelance Data Scientist

Job Overview

We 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 Background

We 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 Responsibilities

• Design 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 & Experience

• Strong 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 Skills

• Experience 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 Details

• Commitment: ~35 hours per week with predictable workload and clear deliverables
• Work Model: 100% remote engagement from our side
• Compensation: Monthly payouts with a transparent pay cycle
• Tenure: Long-term engagement for high performers; continuity and stability assured
• Eligibility: 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