AI/ML delivery Lead – Azure AI and Gen AI

Tachyon Technologies; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Tachyon Technologies in Hyderabad is seeking an AI/ML leader with 8+ years of experience to drive end-to-end AI solutions, from discovery and architecture to production deployment.

You will lead ML initiatives, build generative AI/RAG solutions, apply optimization and geospatial techniques, and deliver business apps and dashboards using Power Platform.

Qualifications

• 7-10 years in data, AI or ML, including 3+ years delivering on Azure AI services.
• Track record of leading ML projects into production.
• Hands-on experience with Python, Azure ML, MLOps and data pipelines.
• Working proficiency in Power Platform.
• Experience with generative AI/LLM solutions (Azure OpenAI, RAG).
• Strong communication and stakeholder management.

Responsibilities

• Lead the end-to-end delivery of ML and AI use cases, including predictive forecasting, pricing and margin analytics, anomaly detection, optimization, and conversational analytics.
• Build generative AI and RAG solutions for natural-language access to financial and operational data.
• Apply optimization and geospatial techniques to route, logistics and cost-minimization problems.
• Deliver business-facing apps, workflows and dashboards using Power Platform (Power Apps, Power Automate, Power BI).
• Establish MLOps, model monitoring, security, and AI governance practices, including access control, auditability, and responsible AI.
• Manage scope, timelines, budget and stakeholders, and guide data scientists, engineers and partners.

Skills

AI/ML leadership

Python

Generative AI

LLMs

RAG techniques

Predictive analytics

Enterprise AI apps

Cloud-native architectures

Data pipelines

Power Platform

MLOps

Production monitoring

Tools

Azure ML

MLOps tooling

Power Platform

Azure OpenAI

Job description

AI/ML leader with 8+ years of experience delivering end-to-end AI solutions, from business discovery and architecture to production deployment.

Experienced in Python, Generative AI, LLMs, RAG, predictive analytics, and enterprise AI application development.

Skilled in designing scalable cloud-native solutions, data pipelines, AI automation, and production monitoring frameworks.

Responsibilities

Lead the end-to-end delivery of ML and AI use cases, including predictive forecasting, pricing and margin analytics, anomaly detection, optimization, and conversational analytics.

• Build generative AI and RAG solutions for natural-language access to financial and operational data.
• Apply optimization and geospatial techniques to route, logistics and cost-minimization problems.
• Deliver business-facing apps, workflows and dashboards using Power Platform (Power Apps, Power Automate, Power BI).
• Establish MLOps, model monitoring, security, and AI governance practices, including access control, auditability, and responsible AI.
• Manage scope, timelines, budget and stakeholders, and guide data scientists, engineers and partners.

Requirements

• 7-10 years in data, AI or ML, including 3+ years delivering on Azure AI services.
• Track record of leading ML projects into production.
• Hands-on experience with Python, Azure ML, MLOps and data pipelines.
• Working proficiency in Power Platform.
• Experience with generative AI/LLM solutions (Azure OpenAI, RAG).
• Strong communication and stakeholder management.