Job Responsibilities:
- Contributing member of a high performing, agile team focused on generative Artificial Intelligence/ Client in Data & Analytics.
- Assist Data Engineering and Generative AI teams during design and development for highly complex and critical Generative AI projects.
- Responsible for Setup and performance tuning Transformers. RAG production setup/deployments.
- Responsible for setup/maintenance and optimization of language models using PyTorch, Tensorflow, Streamlit and other relevant frameworks.
- Responsible for setup/maintain advanced tools like Semantic Kernel, Langchain, and others for effective AI model management.
- Code infrastructure and integrate Platform solutions into the data analytic ecosystem.
- Be part of teams delivering all data projects including implementing new data technologies for unstructured, streaming, and high-volume data.
- Developing and deploying distributed computing Big Data applications using frameworks like Apache Spark and Kafka.
- Utilizing programming languages like Java, Spark, Python, with an emphasis in tuning, optimization, and best practices for Data Engineers.
- Leveraging DevOps techniques and practices like Continuous Integration, Continuous
- Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of end user capabilities.
- Developing data solutions on cloud deployments such as AWS
- Industry experience in Financial Services or other regulated industries and compliance and audit practice.
- Hands on experience leading delivery through Agile methodologies
- Management practices by adhering to required standards and processes.
- Works with Architects to design complex solutions and lead from inception to production.
- Creates and maintains DevOps processes, application infrastructure, and utilizes cloud services (including systems, network and other artifacts)
- Red
📌 Data Platform (India)
🏢 InterSources
📍 India
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