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Assoc. Dir. DDIT IES Cloud Engineering
8-9 years
Hyderabad / Secunderabad
1 vacancy
Assoc. Dir. DDIT IES Cloud Engineering
Novartis
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Architect and Design : Lead the design and architecture of a GPU optimized deep learning framework like NVIDIA DGX or Qualcomm AI Stack, Google TPU, with a focus on supporting Generative AI workloads and advanced analytics foundational models for pharma business use-cases. Working expereince of models like BioNeMo, ESM (Evolutionaly Scale Modeling) or other drug discovery models will be highly preferred.
- Platform Development : Develop and deploy scalable AI, Deep Learning & ML Ops solutions, leveraging AWS Cloud services, including Bedrock, Q, SageMaker, App Studio and AI Infrastructure 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 solutions.
- 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.
Minimum Requirements:
Work Experience:
- Bachelor s degree in Information Technology, Computer Science, or Engineering.
- AWS Solution Architect certification - professional
- 8+ years of strong technical hands-on experience of delivering infrastructure and platform services across geographic and business boundaries
- Minimum 5+ years of technical hands-on experience in AWS Solution Architect / Design Expert role for large enterprises
- Deep understanding of Architecture and Design of Platform Engineering products with focus mainly on GPU driven AI Infrastructure, ML Ops, Run:AI, Cognitive, (Gen)AI, etc.
- Extensive experience in building infra solutions on AWS, particularly with services like AWS Bedrock, Amazon Q, SageMaker, App Studio, Machine Learning and ECS/EKS
- Proficiency in AI and Machine Learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with model deployment, fine tuning of models and operationalization (MLOps).
- Solid hands-on experience in Generative AI techniques, including Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and transformer models.
- Good understanding of 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, with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and monitoring solutions.
- Good understanding of High Availability and Disaster Recovery concepts for infrastructure
- Ability to analyze and resolve complex infrastructure resource and application deployment issues
Key performance indicators:
- Adherence to the Novartis IT quality standards
- Deliver on time
- Cost optimization
- Completeness and quality of deliverables
- Customer feedback (expectations met/exceeded)
- Application on boarding delivery success
- Actively contribute to the business with innovative solutions that show results in the form of cost optimization and / or growth of the business top line revenue.
Skills:
- Technical Leadership
- DevOps, CI/CD
- Scrum Methodology
- Agile Software Development
- System integration and Built
- Problem solving / Root Cause Analysis
- Cloud services monitoring & cost optimization
Languages :
- Excellent written, presentation and verbal communication skills
- Languages: Fluent in English (written & spoken), additional languages a plus
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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