AI ML Tech Lead/Architect (Hyderabad)

AI ML Tech Lead/Architect (Hyderabad)

11 Aug
|
Important Company of the Sector
|
Hyderabad

11 Aug

Important Company of the Sector

Hyderabad

Role Overview


We are seeking a highly experienced AI & Data Architect / Technical Lead to


lead an enterprise engagement focused on Pricing Elasticity Modeling,


Customer Segmentation, and AI -driven Supply Chain Intelligence.


This role will serve as the primary technical and analytics lead for pricing


transformation initiatives, driving the design and implementation of advanced


pricing models, elasticity engines, segmentation frameworks, and scalable


enterprise architecture.


While Databricks and Data Architecture expertise are strongly preferred (not


mandatory), the core emphasis of this role is pricing intelligence, business


alignment, architectural vision, and enterprise -grade execution.


The ideal candidate combines deep expertise in pricing analytics, strong


understanding of AI models and modern architecture patterns, business process


fluency, on -site leadership capability, innovation mindset, and mentoring


strength.


Primary Responsibilities – Pricing Elasticity & Advanced Analytics


(Core Focus)


• Design, build, and operationalize price elasticity models across product


categories.


• Develop demand forecasting and price sensitivity models using statistical,


econometric, and ML approaches.


• Implement cross -elasticity analysis across SKUs and customer segments.


• Build dynamic pricing engines integrated with ERP and business systems.


• Establish model monitoring, recalibration frameworks, and continuous


optimization processes.


• Translate pricing strategy into production -grade AI -driven systems.


Customer Segmentation & Business Process Understanding


• Design and deploy advanced customer segmentation frameworks


(behavioral, value -based, RFM, clustering, predictive segmentation).


• Apply ML techniques such as clustering, classification, and propensity


modeling.


• Demonstrate strong understanding of business processes and operational


flows.


• Speak the language of business stakeholders (similar to ERP functional


consultants or business analysts).






• Align pricing and segmentation outputs with revenue, margin, and supply


chain KPIs.


Data Architecture & Platform Engineering (Databricks Strongly


Preferred)


• Architect scalable enterprise data platforms (Databricks experience strongly


preferred).


• Design modular, maintainable, and upgradeable data pipelines.


• Implement Lakehouse architecture and enterprise -grade governance


standards.


• Enable ERP, AI systems, analytics platforms, and reporting tools to operate on


unified architecture.


• Ensure scalability, cost optimization, reliability, and security.


AI Models, Modern Architecture & Tooling


• Demonstrate robust understanding of AI/ML models, LLM architectures, and


latest AI frameworks.


• Build and integrate GenAI solutions using OpenAI SDK and modern AI


orchestration tools.


• Develop APIs and microservices using FastAPI and Pydantic for robust schema


validation.


• Architect modular, scalable, and future -ready systems.


• Maintain architectural vision ensuring maintainability, upgradeability, and


modularity.


• Leverage rapid prototyping ('vibe tools') to quickly develop MVPs for client


validation and iteration.


Analytics & Visualization


• Build pricing dashboards and segmentation insights using Google Looker.


• Design business -facing analytical views aligned with executive reporting needs.


• Enable data -driven decision -making through interactive dashboards and BI


tools.


Governance, Compliance & Engineering Standards


• Ensure adherence to development standards, compliance requirements, and


enterprise guardrails.


• Define architecture review, code review, testing, and quality processes.






• Implement responsible AI practices and lifecycle governance.


• Maintain documentation, version control, and auditability standards.


Technical Leadership, Communication & Mentorship


• Serve as the on -site Technical Point of Contact.


• Mentor engineers, analysts, and interns; conduct structured knowledge transfer


sessions.


• Drive execution discipline and engineering excellence.


• Demonstrate excellent communication skills to collaborate with US -based


clients with limited timezone overlap.


• Communicate complex technical and pricing concepts clearly to technical


and non -technical stakeholders.


• Exhibit strong innovation mindset and proactive problem -solving attitude.


Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Economics,


Engineering, or related field.


• 8+ years of experience in Data Science, AI Engineering, Pricing Analytics, and


overall IT experience of 12+ years.


• Proven experience in pricing analytics, elasticity modeling, and customer


segmentation.


• Strong understanding of AI models, ML pipelines, and enterprise system


architecture.


• Strong business process understanding and ability to translate business goals


into technical systems.


• Advanced proficiency in Python, SQL, and ML frameworks.


• Experience with Pydantic, FastAPI, and API -based architectures.


• Experience integrating OpenAI SDK or similar LLM frameworks.


• Experience building dashboards using Google Looker or equivalent BI tools.


• Experience deploying production -grade ML/AI systems at enterprise scale.


• Strong communication and client -facing experience.


Strongly Preferred Qualifications


• Databricks and Lakehouse architecture experience.


• ERP integration experience (SAP preferred).


• Supply chain domain expertise.


• Experience in Time & Material enterprise engagements.


• Prior on -site leadership experience.


Benefits

As per company norms


📌 AI ML Tech Lead/Architect (Hyderabad)
🏢 Important Company of the Sector
📍 Hyderabad

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