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.
Chennai
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.