Senior Specialist - Data Sciences
LTM · Hyderabad · onsite · Posted 22d ago
Not disclosedFresherfulltimeSourced from
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About this role
Role Description
Lead the design development and deployment of enterprisescale AI Machine Learning and Generative AI solutions
Define AI strategy architecture and technology roadmaps aligned with business objectives
Drive endtoend delivery of AI programs from ideation and PoC to production deployment
Architect scalable AI platforms leveraging cloud technologies distributed computing and MLOps practices
Design and implement advanced GenAI solutions using LLMs RAG frameworks agents and multimodal models
Provide technical leadership for AI solution architecture model selection and platform engineering
Develop reusable AI accelerators frameworks and best practices to improve delivery efficiency
Lead crossfunctional teams of AI Engineers Data Scientists Architects and Product Owners
Build AI solutions using Azure AI Services OpenAI Databricks vector databases and modern AI ecosystems
Govern model lifecycle management including training evaluation deployment monitoring and retraining
Define AI security compliance responsible AI and data governance standards across projects
Collaborate with business stakeholders to identify highvalue AI transformation opportunities
Establish enterprise AI architecture patterns and integration strategies with existing systems
Drive innovation by evaluating emerging AI technologies frameworks and industry trends
Lead solution workshops architecture reviews and technical governance forums
Provide thought leadership in AI adoption digital transformation and intelligent automation initiatives
Develop reference architectures for GenAI agentic AI conversational AI and predictive analytics solutions
Ensure scalability performance reliability and cost optimization of AI platforms and services
Mentor senior engineers and architects while fostering a culture of innovation and continuous learning
Support presales activities including solution design effort estimation proposals and client presentations
Work closely with executive leadership to define AI investment priorities and strategic initiatives
Establish KPIs and success metrics to measure business impact and AI solution effectiveness
Drive adoption of DevOps MLOps CICD and AI observability frameworks across teams
Influence enterprisewide AI standards technology selection and modernization programs
Required Skills Python Machine Learning Deep Learning GenAI LLMs RAG Agentic AI LangChain LangGraph Azure AI OpenAI Databricks Vector Databases MLOps Kubernetes Cloud Architecture Data Engineering AI Governance Solution Architecture Stakeholder Management and Team Leadership
Lead the design development and deployment of enterprisescale AI Machine Learning and Generative AI solutions
Define AI strategy architecture and technology roadmaps aligned with business objectives
Drive endtoend delivery of AI programs from ideation and PoC to production deployment
Architect scalable AI platforms leveraging cloud technologies distributed computing and MLOps practices
Design and implement advanced GenAI solutions using LLMs RAG frameworks agents and multimodal models
Provide technical leadership for AI solution architecture model selection and platform engineering
Develop reusable AI accelerators frameworks and best practices to improve delivery efficiency
Lead crossfunctional teams of AI Engineers Data Scientists Architects and Product Owners
Build AI solutions using Azure AI Services OpenAI Databricks vector databases and modern AI ecosystems
Govern model lifecycle management including training evaluation deployment monitoring and retraining
Define AI security compliance responsible AI and data governance standards across projects
Collaborate with business stakeholders to identify highvalue AI transformation opportunities
Establish enterprise AI architecture patterns and integration strategies with existing systems
Drive innovation by evaluating emerging AI technologies frameworks and industry trends
Lead solution workshops architecture reviews and technical governance forums
Provide thought leadership in AI adoption digital transformation and intelligent automation initiatives
Develop reference architectures for GenAI agentic AI conversational AI and predictive analytics solutions
Ensure scalability performance reliability and cost optimization of AI platforms and services
Mentor senior engineers and architects while fostering a culture of innovation and continuous learning
Support presales activities including solution design effort estimation proposals and client presentations
Work closely with executive leadership to define AI investment priorities and strategic initiatives
Establish KPIs and success metrics to measure business impact and AI solution effectiveness
Drive adoption of DevOps MLOps CICD and AI observability frameworks across teams
Influence enterprisewide AI standards technology selection and modernization programs
Required Skills Python Machine Learning Deep Learning GenAI LLMs RAG Agentic AI LangChain LangGraph Azure AI OpenAI Databricks Vector Databases MLOps Kubernetes Cloud Architecture Data Engineering AI Governance Solution Architecture Stakeholder Management and Team Leadership
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Skills
KubernetesRetrieval Augmented GenerationAzure AiSolution architectureMLOpsvector databasesai governanceleadershipLarge Language Models (LLMs)OpenAI SDKDatabricksData EngineeringPythonDeep LearningStakeholder ManagementLanggraphLangchainAgentic AiGenerative AiCloud ArchitectureMachine Learning