- Design, build, and evolve enterprise knowledge graph systems, including:
- Ontology and schema design
- Entity modeling and relationship extraction
- Graph alignment, merging, versioning, and schema evolution
- Operate knowledge graphs across heterogeneous enterprise data sources at scale
- Develop and operate enterprise search and information retrieval systems using hybrid approaches, combining:
- Semantic retrieval (embeddings, vectors)
- Graph traversal and reasoning
- Symbolic search and metadata-based retrieval
- Learning-to-rank for high-precision enterprise use cases
- Implement graph-based reasoning and memory systems to support:
- Multi-hop reasoning
- Context persistence
- Explainable and traceable decision paths
- Apply graph algorithms such as ranking, path finding, entity resolution, link prediction, and community detection to improve relevance, coverage, and inference quality
- Build graph-augmented RAG pipelines integrating knowledge graphs with LLMs
- Develop agentic AI systems supporting planning, tool use, retrieval, grounding, and long-horizon task execution
- Implement MCP-based workflows and orchestration for multi-step enterprise AI use cases
- Design and scale traditional ML and NLP systems, including:
- Recommender systems
- Learning-to-rank models
- Topic modeling
- Entity resolution and classification pipelines
- Own ML evaluation and benchmarking, including offline metrics, error analysis, and online experimentation
- Work closely with data engineering and platform teams on large-scale pipelines, vector databases, feature stores, and graph databases
- Partner with product, security, and compliance teams to integrate AI capabilities into Simpplr's enterprise platform
- Commitment: ~35 hours per week with predictable wokload 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
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Freelance Data Scientist - India - Leading MNC
Description
Job Overview
We are looking for an experienced 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
Knowledge Graphs & Graph-Based Systems
Enterprise Search & Retrieval
Graph-Based Reasoning & Explainability
LLM, RAG & Agentic AI Systems
Machine Learning & NLP
Collaboration & Platform Integration
Engagement Details
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Data Scientist
Cyann- India
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Data Scientist
Only for registered members India
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Data Scientist
MetBrains Inc.- India
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Data Scientist
v4c- India
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Data Scientist
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Data Scientist
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Data Scientist
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Data Scientist
Full time Only for registered members India, India
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Data Scientist
Only for registered members India
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Data Scientist
Only for registered members India
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Data Scientist
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Data Scientist
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Data Scientist
Avahi- India
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Data Scientist
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Data Scientist
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Data Scientist
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Data Scientist
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Data Scientist
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Data Scientist
NOBL Q- India
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Data Scientist
Only for registered members India
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Data Scientist
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