Seeking an AI-ML Engineer to analyze data, develop AI/ML solutions, and collaborate with teams to enable scalable data-driven applications.

Company: Siemens Healthcare Private Limited

Role: AI ML Engineer

Location: Bangalore - Karnataka - India

3 - 5 years of hands-on experience in data engineering, data analysis, machine learning applications
Strong practical exposure to Python and SQL-based data retrieval

Analyze structured and unstructured data sources to understand data lineage and identify relevant datasets
Support reliable data retrieval for downstream applications and analytical workflows
Work on data-driven solutions using Python including data processing, transformation, analysis, and document/content generation workflows
Apply AI/ML techniques and modern models to improve data understanding, content extraction, enrichment, classification, and generation use cases
Collaborate with engineering and business teams to identify data sources, tables, columns, and transformation logic for scalable and accurate solutions
Contribute to design and support of backend services and APIs for data-centric applications
Support solutions enabling intelligent data identification and retrieval across diverse sources including semantic retrieval and metadata-driven discovery

Suggest improvements and inputs for DataOps including data orchestration, workflow management, and monitoring systems
Integrate data from multiple enterprise and external sources
Build applications or services that orchestrate retrieval, enrichment, and generation workflows
Collaborate effectively with global partners using strong written and verbal communication
Work independently and in a global team environment
Demonstrate great attention to detail and good analytical abilities
Exhibit good planning and organizational skills
Adopt a collaborative approach to sharing ideas and finding solutions

Knowledge of cloud technologies and frameworks in Microsoft Azure
Knowledge of Azure cloud-based data storage and services
Familiarity with FastAPI or similar API frameworks
Experience with semantic search, vector databases, or search/indexing technologies
Experience working with LLMs and Agentic AI solutions
Experience with Knowledge Graph and Ontology Representation
Exposure to modern interoperability patterns such as model context integrations, connector services, or server-based orchestration for AI/data applications

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