ML Engineer – Noe4J & Cypher- 100% Remote

5 years

12 - 18 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Part Time

Job Description

ML Engineer - 100% Remote
Location: 100% Remote
Duration: 6+ Months
Budget- 1.5 LPM
Experience: 5+ yrs

Job Title : ML Engineer - Identity Risk & Knowledge Graph

Budget- 1.5 LPM

Location: Remote/Hybrid

Experience: 5-8+ years overall, 3+ years in ML, 1-2+ years with graph analytics / graph DB

We are seeking a technically deep Machine Learning Engineer to join our Security & Identity team. This role is ideal for someone who enjoys working at the intersection of graph data modelling and applied machine learning.

What you’ll do:
  • Design and implement graph-based models to represent complex identity and access relationships.
  • Develop and deploy ML-driven anomaly detection capabilities.
  • Build and optimize cloud-native data pipelines to support large-scale analytics in enterprise environments.

Required Skills & Experience

Python, pandas, scikit-learn with 3+ years of hands-on experience Strong experience with AWS (S3, Glue, Lambda, Step Functions) - 2-3+ years Hands-on experience with Neo4j and Cypher, including exposure to Neo4j GDS
(minimum 1 year or 1+ major project) Working experience of Graph Neural Networks (GNNs) 2+ years of experience in unsupervised ML and anomaly detection Proven experience building and deploying ML services / APIs Experience integrating ML solutions with LLM platforms (Bedrock, SageMaker, OpenAI) - at least one project Nice to Have

Exposure to IAM, identity, or security analytics Knowledge of SAP Security / SoD concepts Familiarity with Active Directory / Azure AD Exposure to SAP SuccessFactors

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