Base: $120,000 - $165,000 py; bonus/equity: not sp...
Data pipelines
Machine learning operationalization
Cloud platforms (azure, aws)
Leverage innovation to build connections and capabilities that power the Firm, enabling clients and colleagues to redefine markets and shape the future
Job Summary
Leverage innovation to build connections and capabilities that power the Firm, enabling clients and colleagues to redefine markets and shape the future.
Partner with Advanced analytics, Machine learning and Platform team(s) to develop and operationalize cross-system data flows, data stores and distributed applications.
Contribute to the overall cloud adoption and engineering roadmap, ensuring scalable, agile and robust architecture and implementation.
Matching Summary
Leverage innovation to build connections and capabilities that power the Firm, enabling clients and colleagues to redefine markets and shape the future.
Salary
Base: $120,000 - $165,000 per year; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Data Pipelines
Machine Learning Operationalization
Cloud Platforms (Azure, AWS)
Distributed Data Applications
Python, Advanced SQL, Shell Scripting
Data Ops and ML Ops practices
Nice-to-have
GenAI Stack (Langchain, RAG)
Stakeholder Management
Knowledge Sharing
Agile and Robust Architecture
Key Requirements
Minimum B.E./B.Tech degree
Experience with Hadoop ecosystem, Spark, Snowflake
Understanding of applied Machine Learning Lifecycle
Experience with Azure (Databricks, Snowflake), AWS
Experience with SQL and NoSQL datastores
Proven understanding of Data and Model deployment lifecycle