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Job Type

Full Time

Job Description

Infilon Technologies



Job Location:

Experience:


Key Responsibilities

  • Architect, develop, and optimize data models using 

    Neo4j

     or other 

    graph databases

    .
  • Apply 

    graph-based data science algorithms,

     including centrality, community detection, and link prediction, using Neo4j GDS.
  • Design and implement advanced 

    search and traversal algorithms

     for complex data structures.
  • Implement solutions using modern

    AI/ML frameworks

    to build, train, and deploy machine learning models at scale.
  • Work on 

    large-scale, highly interconnected datasets

     to uncover patterns, insights, and business value.
  • Use your mathematical expertise to solve algorithmic and analytical challenges.
  • Collaborate with cross-functional teams to integrate graph-based intelligence into scalable software systems.
  • Stay updated with the latest advancements in 

    graph data science

    , AI, and related technologies.
  • quick learner

     with a proven ability to be 

    adaptive to new technologies

     and evolving project requirements.
  • Exceptional analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.


Required Skills

  • 4+ years in data science or architecture roles.
  • Strong hands-on with 

    Neo4j

     and 

    Cypher

    .
  • Solid background in 

    mathematics

     and 

    graph theory

    .
  • Experience with 

    search algorithms

     and 

    data science workflows

    .
  • Proficient in 

    Python

     and relevant ML libraries.


Nice to Have

  • Experience with 

    machine learning frameworks

     (e.g., scikit-learn, TensorFlow, PyTorch).
  • Exposure to 

    distributed computing frameworks

     (e.g., Spark, Hadoop).
  • Knowledge of 

    knowledge graphs

     and semantic modeling.
  • Prior experience in 

    architect-level roles

     in data-driven product teams.
  • Understanding of 

    electrical components

    .

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