Technical Specialist-Data Engg

Birlasoft
Noida
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Design and implement enterprise GenAI and agentic AI solutions, including LLM-powered use cases with RAG. Build scalable data pipelines with Databricks, PySpark, SQL, Delta Lake, Unity Catalog, and medallion architecture, optimizing Spark for performance and cost. Ensure data ingestion, transformation, enrichment, and data quality with reliability and observability. Develop semantic data models and prepare feature-ready datasets to fine-tune LLMs/ML models using Databricks MLflow and Mosaic AI.

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FursaFursa
Birlasoft
Birlasoft
1 day ago

Technical Specialist-Data Engg

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design and implement enterprise GenAI and agentic AI solutions, including LLM-powered use cases with RAG. Build scalable data pipelines with Databricks, PySpark, SQL, Delta Lake, Unity Catalog, and medallion architecture, optimizing Spark for performance and cost. Ensure data ingestion, transformation, enrichment, and data quality with reliability and observability. Develop semantic data models and prepare feature-ready datasets to fine-tune LLMs/ML models using Databricks MLflow and Mosaic AI.
Location: Noida
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement GenAI and agentic AI solutions using Databricks Genie, Databricks Agent Bricks, and Mosaic AI (model training, evaluation, prompt engineering, RAG).
  • •Build LLM-powered use cases and integrate AI solutions with enterprise data and business workflows.
  • •Design and build scalable data pipelines using Databricks, PySpark, and SQL.
  • •Implement Delta Lake, Unity Catalog, and medallion architecture; optimize Spark jobs for performance, cost, and scalability.
  • •Ensure data quality, reliability, and observability across pipelines, including ingestion, transformation, enrichment, and feature-ready dataset preparation.

Key Requirements

  • •Experience designing and implementing GenAI and agentic AI solutions, including model training, evaluation, and prompt engineering with RAG.
  • •Build LLM-powered use cases and implement prompt engineering, model evaluation, and guardrails for enterprise GenAI.
  • •Design and build scalable data pipelines using Databricks, PySpark, and SQL.
  • •Implement Delta Lake, Unity Catalog, and medallion architecture, and optimize Spark jobs for performance, cost, and scalability.
  • •Develop enterprise ontologies, taxonomies, vocabularies, semantic data models, and prepare feature-ready datasets for AI/ML workloads.
Tech Stack:Databricks GenieDatabricks Agent BricksMosaic AIRAGLLMsML modelsPySparkSQLDatabricksDelta LakeUnity CatalogMedallion architectureSparkMLflowFeature-ready datasetsPrompt engineeringModel evaluationGuardrailsEnterprise ontologiesTaxonomies

Company Brief

Birlasoft
Birlasoft is a global IT services and digital solutions provider delivering consulting, enterprise applications, cloud, and infrastructure services to enterprises across industries, helping accelerate digital transformation and business modernization.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Noida, India
WebsiteLinkedIn