Associate Director DDIT IES Cloud Plat. Azure

NOVARTIS

10 - 15 years

30 - 35 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

computer science solution architecture orchestration data management pharma disaster recovery machine learning natural language processing information technology monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

-Expert and Responsibility for complexa) Solution Design and Architecture of Technology Assets / Products orb) Platform Architecture and Governance of Technology Platforms.

About the Role

Major accountabilities

Architect and Design Lead the design and architecture of an Azure-based AI infrastructure platform, with a focus on supporting generative AI workloads and advanced analytics for pharma business use-cases.
Platform Development Develop and deploy scalable AI solutions, leveraging Azure s suite of services, including Azure Machine Learning, Azure Synapse Analytics, and other relevant tools.
Data Management Oversee the design and implementation of data storage, retrieval, and processing pipelines, ensuring the efficient handling of large datasets, including genomic and chemical compound data.
Security and Compliance In collaboration with cloud domain security architects, implement robust security measures and ensure compliance with relevant industry standards, particularly in handling business sensitive data.
Collaboration Work closely with data scientists, research scientists, and other business stakeholders to understand their needs and translate them into technical requirements.
Performance Optimization Optimize the performance and cost-efficiency of the platform, including monitoring and scaling resources as needed.
Innovation Stay updated with the latest trends and technologies in AI and cloud infrastructure, continuously exploring new ways to enhance the platforms capabilities.
Multi - Cloud Has good exposure/understanding of other Cloud and GenAI technologies like GCP, OpenAI, Perplexity, AWS, etc.

Minimum Requirements
Work Experience

Bachelor s degree in information technology, Computer Science, or Engineering.
MS-Azure Solution Architect certification - professional level
10+ years of solid experience working in public cloud environments; delivering infrastructure and platform services across geographic and business boundaries
Minimum 5+ years experience working in MS-Azure Solution Architect / Design Expert role for large enterprises
Deep understanding of Architecture and Design of Platform Engineering products with focus mainly on Data science/ML compute products, Cognitive, (Gen)AI, etc.
Extensive experience in building infra solutions on Microsoft Azure, particularly with services like Azure OpenAI, AI Studio, Machine Learning, Azure Kubernetes Service (AKS), Azure Synapse Analytics, Azure Cognitive Services and Azure Data Lake.
Proficiency in AI and Machine Learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with model deployment and operationalization (MLOps).
Solid hands-on experience in Generative AI techniques, including Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and transformer models (e.g., GPT, BERT).
Good understanding in data engineering, including ETL processes, data warehousing, and working with both structured and unstructured data.
Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
Experience with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and monitoring solutions.
Experience with DevOps Orchestration / Configuration / Continuous Integration Management technologies
Good understanding of High Availability and Disaster Recovery concepts for infrastructure

Skills

Microsoft Azure Architecture Platform Engineering
AI and Machine Learning (TensorFlow, PyTorch, Keras, MLOps)
Generative AI NLP (GPT, BERT, GANs, Transformer models)
Azure Data Analytics Services (Synapse, Data Lake, Cognitive Services, AI Studio, OpenAI)
Azure Kubernetes Service (AKS) Containerization (Docker, Kubernetes)
DevOps Infrastructure as Code (CI/CD pipelines, IaC, Monitoring)
Cloud Solution Design for High Availability Disaster Recovery
Cognitive (Gen)AI Solution Architecture and Deployment
Security Compliance Integration within Cloud Platforms

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