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