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Job Title : ML Engineer – Identity Risk & Knowledge Graph
Location: Remote/Hybrid
Experience: 5–8+ years overall, 3+ years in ML, 1–2+ years with graph analytics / graph DB
Mode : 6 month contract + ext.
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
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹130,000.00 - ₹150,000.00 per month
Application Question(s):
Work Location: Remote
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