ML Engineer – Identity Risk & Knowledge Graph 100 Remote
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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 youll 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-learnwith 3 years of hands-on experience
- Strong experience withAWS(S3 Glue Lambda Step Functions) - 2-3 years
- Hands-on experience withNeo4j and Cypher including exposure toNeo4j GDS
(minimum 1 year or 1 major project) - Working experience ofGraph Neural Networks (GNNs)
- 2 years of experience inunsupervised ML and anomaly detection
- Proven experience building and deployingML services / APIs
- Experience integrating ML solutions withLLM platforms(Bedrock SageMaker OpenAI) - at least one project
Nice to Have
- Exposure toIAM identity or security analytics
- Knowledge ofSAP Security / SoD concepts
- Familiarity withActive Directory / Azure AD
- Exposure toSAP SuccessFactors
Required Skills:
Machine LearningGraph DatabasesNeo4jPythonPandasAWSS3
Key Skills
- Graph Databases
- Data Analytics
- AI
- Ontology
- OWL
- RDF
- SPARQL
- Natural Language Processing
- Neo4j
- Knowledge Management
- Taxonomy
