ML Engineer – Identity Risk & Knowledge Graph - 100% Remote

ML Engineer - 100% RemoteLocation: 100% RemoteDuration: 6+ MonthsBudget- 1.5 LPMExperience: 5+ yrsJob 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