Lead design and delivery of data engineering, ML, and knowledge graph solutions. Architect large-scale pipelines, integrate knowledge graphs with LLMs/GraphRAG, deploy ML models with MLOps, enforce governance, and mentor technical teams.
Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : PySpark
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Technology Specialist, you will lead the technical design, development, and deployment of data engineering, machine learning, and knowledge graph solutions. You will manage tech teams, work closely with stakeholders, and build intelligent data platforms and AI-driven applications.
Roles & Responsibilities:
Technical Leadership: Act as a Subject Matter Expert (SME) in Data, ML, and Knowledge Graphs. Lead technical teams, make key architectural decisions, and guide project direction.
Data Pipelines: Design and build large-scale data pipelines, enterprise data lakes/lake houses, and real-time streaming platforms.
Knowledge Graphs & AI: Build Knowledge Graph solutions, ontologies, and semantic models. Integrate Knowledge Graphs with Large Language Models (LLMs) and Graph RAG applications.
ML Deployment: Develop and deploy machine learning models into production using ML Ops best practices.
Governance & Operations: Set standards for data governance, metadata management, code quality, and smooth CI/CD (Data Ops/ML Ops) workflows.
Mentorship: Guide, mentor, and upskill team members while managing technical project risks.
Professional & Technical Skills:
Strong expertise in PySpark, Apache Spark, and Databricks.
Machine Learning experience using Python, TensorFlow, PyTorch, or Scikit-learn.
Hands-on experience with Knowledge Graphs and Graph Databases (e.g., AWS Neptune, Neo4j, Stardog) using RDF, OWL, and SPARQL.
Experience with Generative AI, LLMs, and GraphRAG integration.
Proficiency in SQL, NoSQL databases, and building batch/streaming pipelines.
Cloud experience with at least one platform: Azure, AWS, or GCP.
Good to Have:
Microsoft Fabric, Azure Synapse, or Azure ML.
Vector databases, LangChain, or Semantic Kernel.
MLflow or Kubeflow.
Additional Information:
Overall IT Experience: 10+ years.
PySpark / Data Engineering: 5+ years.
Machine Learning / AI: 3+ years.
Knowledge Graphs: 2+ years.
Education: 15 years of full-time education.
Job Location: Bengaluru, India.15 years full time education
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : PySpark
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Technology Specialist, you will lead the technical design, development, and deployment of data engineering, machine learning, and knowledge graph solutions. You will manage tech teams, work closely with stakeholders, and build intelligent data platforms and AI-driven applications.
Roles & Responsibilities:
Technical Leadership: Act as a Subject Matter Expert (SME) in Data, ML, and Knowledge Graphs. Lead technical teams, make key architectural decisions, and guide project direction.
Data Pipelines: Design and build large-scale data pipelines, enterprise data lakes/lake houses, and real-time streaming platforms.
Knowledge Graphs & AI: Build Knowledge Graph solutions, ontologies, and semantic models. Integrate Knowledge Graphs with Large Language Models (LLMs) and Graph RAG applications.
ML Deployment: Develop and deploy machine learning models into production using ML Ops best practices.
Governance & Operations: Set standards for data governance, metadata management, code quality, and smooth CI/CD (Data Ops/ML Ops) workflows.
Mentorship: Guide, mentor, and upskill team members while managing technical project risks.
Professional & Technical Skills:
Strong expertise in PySpark, Apache Spark, and Databricks.
Machine Learning experience using Python, TensorFlow, PyTorch, or Scikit-learn.
Hands-on experience with Knowledge Graphs and Graph Databases (e.g., AWS Neptune, Neo4j, Stardog) using RDF, OWL, and SPARQL.
Experience with Generative AI, LLMs, and GraphRAG integration.
Proficiency in SQL, NoSQL databases, and building batch/streaming pipelines.
Cloud experience with at least one platform: Azure, AWS, or GCP.
Good to Have:
Microsoft Fabric, Azure Synapse, or Azure ML.
Vector databases, LangChain, or Semantic Kernel.
MLflow or Kubeflow.
Additional Information:
Overall IT Experience: 10+ years.
PySpark / Data Engineering: 5+ years.
Machine Learning / AI: 3+ years.
Knowledge Graphs: 2+ years.
Education: 15 years of full-time education.
Job Location: Bengaluru, India.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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