Generative AI-Software EngineerSenior Associate

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Analytics and Insights Consumption team, youll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes.

You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

Years of Experience: Candidates with 4+ years of hands on experience.

Responsibilities.

Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies.

Design, develop, and maintain software solutions for GenAI projects.

Implement event-driven architectures to enable real-time data processing and analysis.

Utilize containerization technologies like Kubernetes for efficient deployment and scalability.

Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data.

Utilize Python as the primary programming language for software development.

Collaborate with data scientists, data engineers, and DevOps engineers to ensure smooth integration and deployment of GenAI models and applications.

Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Document software engineering processes, methodologies, and best practices.

Maintain solution architecture certificates and stay current with industry best practices.

Requirements.

Python Proficiency: Minimum 3 years of hands-on experience building applications with Python.

Scalable System Design: Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, with a strong understanding of various components and systems architecture patterns to make cohesive and decoupled, scalable applications.

Web Frameworks: Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models.

Modular Design & Security: Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc ,).

Cloud-Native Development: Familiarity with cloud-native development patterns and tools (e g , REST APIs, microservices, serverless functions).

Cloud Deployments: Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar).

Version Control (Git): Strong proficiency in Git for effective code collaboration and management.

CI/CD: Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms.

Preferred Skills.

Gen AI Frameworks: Experience with LLM frameworks or tools for interacting with LLMs such as LangChain, Semantic Kernel, LlamaIndex.

Data Pipelines: Experience in setting up data pipelines for model training and real-time inference.

Professional And Educational Background.

BE / b tech / MCA / M.

Sc / M.

E / M.

Tech / MBA.

Good Communication and presentation skills.

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