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    Home/Jobs/AI-ML Engineer

    AI-ML Engineer

    Siemens Healthcare Private Limited

    Bengaluru
    3-5 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    Vector Database
    LLM
    Agentic AI
    Python
    SQL
    Data Engineering
    Machine Learning
    Data Science
    Azure
    T-SQL
    Oracle
    FastAPI
    Semantic Search
    Knowledge Graph

    Description

    We are looking for an experienced AI-ML Engineer to join our team at Siemens Healthcare Private Limited. The successful candidate will be responsible for analyzing structured and unstructured data sources, working on data-driven solutions, and applying AI/ML techniques to improve data understanding.

    Company: Siemens Healthcare Private Limited

    Role: AI-ML Engineer

    Location: Bangalore - Karnataka - India

    Experience:

    • At least 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

    Key Skills:

    • Python
    • SQL
    • Data transformation
    • Data analysis
    • Data quality
    • Data profiling
    • Source-to-target mapping
    • Enterprise data platforms and databases
    • Schema understanding
    • Data lineage tracing
    • Structured/unstructured data analysis
    • Relational database design
    • Processing and managing large data sets

    Qualification:

    • Bachelor's or Master's in Computer Science & Engineering
    • Data Engineering
    • Data Science
    • Artificial Intelligence
    • Software Engineering
    • or equivalent

    Role Focus:

    • Analyze structured and unstructured data sources to understand data lineage and identify relevant datasets
    • Work on data-driven solutions using Python
    • Apply AI/ML techniques and modern models to improve data understanding
    • Collaborate with engineering and business teams to identify the right data sources and transformation logic
    • Contribute to the design and support of backend services and APIs for data-centric applications
    • Support solutions that enable intelligent data identification and retrieval across diverse sources

    Nice to have:

    • Knowledge of cloud technologies and frameworks in Microsoft Azure
    • Experience with Dataops (Data Orchestration / Workflow management & Monitoring Systems)
    • Familiarity with FastAPI or similar API frameworks
    • Familiarity with semantic search, vector databases, or search/indexing technologies
    • Experience in working with LLMs, Agentic AI solutions
    • Experience in working with Knowledge Graph, Ontology Representation
    • Exposure to modern interoperability patterns

    Other:

    • Great attention to detail and good analytical abilities
    • Good planning and organizational skills
    • Collaborative approach to sharing ideas and finding solutions
    • Ability to work independently and also in a global team environment
    • Strong written and verbal communication skills

    Prepare for this role

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