AS
Aditya Singh
ML Engineer (Azure ML)
12+ Years Experience • Azure ML • MLOps • GenAI • Agentic AI
● Senior AI/ML Talent
Experience
12+ Years
Current Role
AI Engineer (AI/ML Solutions)
Core Focus
Azure ML / MLOps / GenAI
Domains
Retail / Healthcare / Consumer Goods
Professional Summary
- Strategic and results-driven AI/ML Engineer with 12+ years of experience designing, developing, and deploying enterprise-scale Machine Learning, Generative AI, and Data Science solutions across highly regulated and data-intensive industries including financial services, government, and global enterprises.
- Specialized in building scalable Azure-native ML platforms, intelligent automation systems, and production-grade AI applications that deliver measurable business outcomes such as operational efficiency, cost optimization, compliance readiness, and revenue growth.
- Extensive hands-on expertise in Azure Machine Learning Studio, Azure Kubernetes Service (AKS), Azure Blob Storage, Azure Data Factory (ADF), and Azure DevOps (ADO) Pipelines for end-to-end ML lifecycle management, model deployment, orchestration, and monitoring.
- Strong background in designing and deploying LLM-powered applications, Retrieval-Augmented Generation (RAG) solutions, multi-agent AI systems, and enterprise document intelligence platforms that significantly improved business productivity and reduced manual processing efforts.
- Adept at implementing MLflow for experiment tracking, model versioning, model registry, logging, performance monitoring, and governance across enterprise AI environments.
- Experienced in building CI/CD workflows using Git and Azure DevOps to streamline model deployment, infrastructure automation, testing, and continuous delivery of AI applications.
Work History
Deloitte Shared Services India
AI Engineer (AI/ML Solutions)
Aug 2024 – Present
- Architecting and implementing enterprise-grade AI/ML and GenAI solutions on Microsoft Azure using Azure Machine Learning Studio, Azure OpenAI, and Azure AI Document Intelligence for intelligent document processing, contract analytics, and enterprise knowledge automation.
- Building and deploying LLM-powered enterprise document intelligence platforms to analyze contracts, Statements of Work (SOWs), invoices, and compliance documents at scale, significantly reducing manual review effort and improving audit readiness.
- Developing Agentic Retrieval-Augmented Generation (RAG) architectures with hybrid retrieval, semantic search, vector databases, cross-encoder reranking, prompt orchestration, and confidence-based guardrails to improve response accuracy and reduce hallucinations.
- Deploying and managing ML/AI/GenAI workloads on Azure Kubernetes Service (AKS), ensuring high availability, auto-scaling, container orchestration, and optimized inference performance for enterprise-scale applications.
- Designing and maintaining CI/CD and MLOps workflows using Git, Azure DevOps (ADO) Pipelines, and Infrastructure-as-Code practices to automate model training, validation, deployment, rollback, and monitoring processes.
- Establishing governance, compliance, and responsible AI controls for enterprise AI deployments, including audit logging, traceability, explain ability, RBAC security, and policy enforcement in regulated environments.
VCreatek Consulting
LLM & Azure Cloud Specialist
Aug 2020 – Jul 2024
AboutBoutique AI & Analytics firm serving Fortune 500 clients in Retail & Healthcare
- Led the design and deployment of scalable Generative AI and Machine Learning solutions using Microsoft Azure technologies, enabling enterprise-wide adoption of AI-driven applications and intelligent automation.
- Designed and deployed predictive Machine Learning models with 95%+ accuracy for critical laboratory and operational datasets, contributing to optimized testing strategies and significant reduction in product stability testing costs.
- Implemented AI-powered complaint intelligence and text analytics solutions using Azure OpenAI Service to process large-scale customer feedback, identify recurring issue patterns, and improve product quality metrics.
- Created scalable model training and inference architectures using Azure Kubernetes Service (AKS) for containerized ML workloads, ensuring high availability, load balancing, and efficient resource utilization.
- Configured and maintained CI/CD workflows using Git-based repositories and Azure DevOps pipelines for automated model packaging, validation, deployment, rollback, and release management.
Avira Insights (formerly Infor Growth)
Senior Data Analyst (Predictive Modelling)
Dec 2018 – Jul 2020
AboutMarket Intelligence & Strategic Consulting firm
- Developed and deployed NLP- and ML-based crude oil price forecasting solutions on Microsoft Azure Machine Learning, improving forecast precision by approximately 20% and enabling data-driven market trend analysis for strategic business planning.
- Implemented predictive analytics and RFM-based customer segmentation models to identify high-value customer groups, enhancing campaign personalization and improving engagement and response effectiveness.
- Collaborated with cross-functional global teams to develop medication adherence prediction models, supporting proactive risk identification and improving targeting accuracy for patient support initiatives.
- Created cloud-based inference pipelines and REST-enabled ML endpoints for real-time and batch prediction services across enterprise applications.
Acute Global / Markets and Markets
Research Analyst
Feb 2014 – Nov 2018
AboutGlobal Market Research & Consulting firm
- Delivered end-to-end consulting engagements for Fortune 500 clients across supply chain, chemicals, and manufacturing domains.
- Designed market engineering and forecasting models to support strategic decision-making.
- Authored client-facing research reports and technical dossiers used for executive planning and investment decisions.
Skillsets
GenAI Solution Architecture
Machine Learning & NLP
Agentic AI Pipelines
Enterprise AI Platforms
AI Governance & Risk
RAG
MLOps / LLMOps
Prompt Engineering
Azure ML Studio
Azure OpenAI
Azure Databricks
Azure Data Factory
AKS
Azure DevOps
MLflow
AWS Bedrock
Docker
Kubernetes
Python
SQL
PySpark
FastAPI
Scikit-learn
LangChain
LangGraph
Tableau
Applications & Tools
Core Skills
GenAI Solution Architecture
Machine Learning & NLP Systems
Agentic AI Pipelines
Enterprise AI Platforms
AI Governance & Risk Mitigation
Stakeholder & Client Leadership
Languages & Frameworks
Python
SQL
PySpark
FastAPI
Scikit-learn
Cloud, MLOps & Deployment
Azure Databricks
Azure ML Studio
Azure Data Factory
Docker
Kubernetes
GitHub
MLflow
Jenkins
AWS Bedrock
GenAI, LLMs & NLP
Azure OpenAI
OpenAI GPTs
Claude Haiku/Sonnet/Opus
LangChain
LangGraph
Retrieval Augmented Generation (RAG)
NLP Pipelines
Agentic Workflows
Enterprise & Analytics Tools
Jira
Confluence
Tableau
Notable Achievements
- Recognized at Deloitte for designing and delivering GenAI training programs, basic to advanced, to 250+ engineering practitioners, accelerating firm-wide adoption of Generative AI and Agentic architectures.
- Received client appreciation for architecting and delivering the first Agentic AI solution for a global consumer goods enterprise.
- Awarded client commendation for architecting an on-premise GenAI system for the Ministry of Interior, UAE, meeting strict data sovereignty, security, and compliance requirements.
- Built LLM-powered document intelligence platforms that analyze contracts, SOWs, invoices, and compliance documents at scale, cutting manual review effort and improving audit readiness.
- Delivered predictive models with 95%+ accuracy for laboratory and operational datasets, helping reduce product stability testing costs.
- Improved crude oil price forecast precision by about 20% using NLP- and ML-based solutions on Azure Machine Learning.
Education
Master of Business Administration (MBA)
Marketing & Telecom • Sri Balaji University, Pune • 2014
Bachelor of Commerce
Taxation • DAVV, Indore • 2012