Custom Software Engineer
Accenture
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Large Language Models (LLMs) Good to have skills : NA Educational Qualification : 15 years full time education is required.
Summary:
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with modern development frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with team members and stakeholders is an integral part of the daily routine to align development efforts with project goals and timelines, fostering continuous improvement and innovation.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather and analyze requirements for custom software development.
- Assist in maintaining and updating existing software components to improve performance and reliability.
- Support junior team members by sharing knowledge and providing guidance on best practices.
- Participate in code reviews to ensure quality and adherence to coding standards.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience with natural language processing techniques and model fine-tuning.
- Strong understanding of software development lifecycle and agile methodologies.
- Ability to integrate language models into various software applications effectively.
- Familiarity with cloud platforms and deployment of machine learning models.
- Knowledge of programming languages commonly used in AI and software development.
Additional Information:
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