ML Engineer /Python Application Developer

    Primary
Skills & Responsibilities:      

1.
Python Programming: Proficiency in Python for data engineering and machine
learning tasks.      

2.
Spark: Experience with Apache Spark for distributed data processing.      

3.
Databricks Platform: Familiarity with Databricks notebooks, clusters, jobs,
and workspace management      

4.
MLOPS: Strong experience with DevOps and MLOps on Azure, including Azure
Devops CI/CD pipelines, Docker, Kubernetes, and infrastructure automation      

5. Graph
DB: Experience with graph databases such as Nebula Graph, Tiger Graph and
Neo4j for relationship-based modeling, analytics, and ML use cases.      

Design
and build end-to-end knowledge graph architectures from data ingestion and
schema/ontology design to graph storage and querying.      

Design
build and maintain end-to-end MLOps pipelines for training, testing,
deploying, and mon...