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    Job · 15733644

    BENGALURU · FULLTIME

    SymphonyAI - Lead AI Delivery Engineer - Python

    Symphonyai logo

    Symphonyai

    Bengaluru · onsite · Posted 47d ago

    Sourced fromFoundit
    Not disclosed8–10 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Introduction

    SymphonyAI Industrial is a leading provider of Artificial Intelligence-driven solutions that optimize the health, reliability, and operational performance of industrial assets and processes.

    Our cutting-edge IRIS platform combines Predictive AI, Generative AI, and Agentic AI capabilities to deliver real-time insights, predictive intelligence, and prescriptive recommendations across asset-intensive industries.

    We are seeking an experienced Lead AI Delivery Engineer to drive the successful implementation of Predictive AI, Machine Learning, Generative AI, and Agentic AI solutions for industrial customers globally.

    Responsibilities

    • Customer Engagement & Solution Delivery
    • AI & Machine Learning Implementation
    • Agentic AI & Generative AI Delivery
    • Project Leadership & Stakeholder Management
    • Customer Success & Post-Deployment Support
    • Technical Leadership

    Required Skills & Qualifications

    • Bachelors or Masters degree in Engineering, Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or related discipline.
    • 8+ years of experience in customer-facing technology delivery, industrial software implementation, or AI project delivery.
    • 3+ years of hands-on experience in AI, Machine Learning, Advanced Analytics, Data Contextualization, or Data Science projects.

    Tech Stack

    • Python, Scikit-learn, TensorFlow, PyTorch, Keras, NumPy, Pandas.
    • Generative AI, Agentic AI, RAG, Vector Databases, Multi-Agent Systems.
    • LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants, MCP.
    • Azure AI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks.
    • Power BI, Tableau, Plotly, Matplotlib.

    Preferred Skills & Qualifications

    • Predictive Maintenance, Reliability Engineering, Asset Performance Management, Digital Twins, Industrial IoT Platforms, Enterprise Generative AI Deployments, LLMOps and MLOps.

    About Us

    SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management.

    Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

    Diversity & Inclusion Statement

    We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

    (ref:hirist.tech)

    Sourced from foundit

    Section · 02

    Skills

    Retrieval Augmented GenerationAutoGenCrewaiAzure Aikerasaws bedrockSemantic KernelMCPmatplotlibAzure OpenAIvector databasesPlotlyMulti-Agent SystemsGoogle Vertex AIPytorchTensorflowScikit-LearnDatabricksPythonPower BiTableauPandasNumpyLanggraphLangchainAgentic AiGenerative AiOpenAI Assistants

    Section · Company

    About SymphonyAI

    Symphonyai logo

    Symphonyai

    IT Services & Consulting

    51

    employees

    2017

    9 years old

    Palo Alto, California

    United States

    About

    About the Company

    SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and enterprise IT. Since its founding in 2017, SymphonyAI has grown to today serve 2000+ Enterprise customers globally and has grown to 2,500 talented leaders, data scientists, and other professionals across over 30 countries.

    Industries

    IT Services & Consulting

    Employee ratings

    98 reviews

    2.9/ 5

    Culture

    2.9

    Career growth

    2.6

    Work-life

    3.2

    Employees rate it well for

    Work Life Balance13Work Culture12Senior Management11Learning9Job Security8

    Find them on

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