Generative AI-Software Engineer- Senior Associate
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
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, you’ll 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 6+ 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.
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