Custom Software Engineer - Data & Machine Learning

Accenture India Private Limited; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Accenture India Private Limited is seeking a Senior Data/ML Engineer to define data requirements and structure for data-intensive applications. The role involves designing AI-first SAP cloud solutions, collaborating with multiple teams to ensure robust, scalable data architecture and end-to-end delivery.

The candidate should have 7.5+ years in Data Engineering/ML, hands-on experience with Python and ML stacks, and SAP BTP/HANA expertise, with Bengaluru/Pune as the base.

Qualifications

• 7.5+ years of experience in Data Engineering/Machine Learning.
• 15 years full time education is required.
• Experience building AI-first SAP cloud applications and end-to-end solutions.

Responsibilities

• Discover customer problems and frame AI-driven solutions.
• Design and implement end-to-end cloud architectures on SAP BTP.
• Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
• Ensure quality, security, observability, and CI/CD.
• Collaborate with customer teams, product, UX, data, and architecture.

Skills

Data Engineering

Python/ML stack

Cloud architectures

CI/CD

Education

15 years full time education

Tools

Databricks

LangChain

LangGraph

SAP BTP

HANA

Databricks Vector Search

Job description

Custom Software Engineer Project Role

Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Data Science Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education

Summary- As a Data /ML Engineer, you will define the data requirements and structure for the application. Embedded FDE engineer (5–10 yrs) building AI-first SAP cloud applications and end-to-end solutions with customers. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.

Responsibilities

• Discover customer problems and frame AI-driven solutions.
• Design and implement end-to-end cloud architectures and production apps on SAP BTP.
• Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services.
• Ensure quality, security, observability, and CI/CD.
• Collaborate closely with customer teams, product, UX, data, and architecture.
• Prepare Gen AI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with ML flow.
• Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab.
• Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.
• Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
• Hands on Experience in applying Performance optimization techniques
• Understanding data modeling and data warehousing principles is essential.
• 5–10 yrs software engineering for cloud/enterprise/SaaS.
• Proven delivery of multi-tenant, cloud-native apps.
• Hands on with LLMs, RAG, agentic frameworks (e.g., LangChain, LangGraph, MCP).
• Strong Python/ML stack, REST/gRPC integration, vector DBs.
• SAP BTP & HANA experience
• Databricks or similar data pipelines.

Nice to Have

• 1. Certifications: Data Engineering Certified Professional or similar certifications.
• 2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.
• 3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive, Kafka)
• 4. Data Orchestration: Apache Airflow.
• 5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.
• 6. Experience with ETL tools like Informatica, Talend, Mati Llion, or Five Tran.
• 7. Familiarity with DBT (Data Build Tool)

Additional Information

• The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
• This position is based at our Bengaluru/Pune office.
• Educational Qualification: 15 years full time education is required.