Application Developer

Accenture

3 - 5 years

Bengaluru

Posted: 9/9/2024

Job Description

Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Data & AI Solution Architecture
Good to have skills : Python (Programming Language), Machine Learning
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Prompt Engineer, your primary responsibility will be to develop and maintain the underlying models and algorithms that power the ChatGPT assistant. You will work closely with a team of engineers, researchers, and data scientists to improve the performance and capabilities of the virtual assistant. This role requires a strong background in natural language processing (NLP), machine learning, and software engineering. Roles & Responsibilities: - Model Development: Design, implement, and iterate on state-of-the-art NLP models and algorithms to enhance the conversational capabilities of the ChatGPT assistant. This involves researching, experimenting, and prototyping new techniques to improve the model's performance. - Data Analysis: Analyze large datasets to gain insights into model behavior, identify areas for improvement, and propose data-driven solutions. Collaborate with data scientists to preprocess and prepare data for training and evaluation. - Model Training: Train and fine-tune the ChatGPT models using large-scale datasets. Implement and optimize training pipelines to efficiently process and train models on distributed computing resources. - Performance Optimization: Identify and address performance bottlenecks in the model and system architecture. Optimize code and algorithms to improve inference speed and resource efficiency. - Collaboration: Collaborate effectively with cross-functional teams, including researchers, engineers, and product managers, to understand requirements, provide technical expertise, and contribute to the overall development of the virtual assistant. - Documentation and Testing: Document code, algorithms, and experiments to ensure reproducibility and knowledge transfer. Write unit tests and conduct experiments to validate the performance and reliability of the models. - Continuous Learning: Stay up-to-date with the latest advancements in NLP, machine learning, and related fields. Attend conferences, read research papers, and participate in knowledge sharing within the team. Professional & Technical Skills: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus. -Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. -In-depth knowledge of natural language processing techniques, including language modeling, sequence-to-sequence models, and attention mechanisms. -Experience with large-scale data processing and distributed computing frameworks. -Familiarity with software engineering best practices, including version control, code reviews, and testing. -Strong problem-solving and analytical skills. -Excellent communication and collaboration skills. -Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously. Additional Information: - The candidate should have a minimum of 3 years of experience in Data & AI Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full-time education is required.

About Company

Accenture is a global professional services company that provides a broad range of services in strategy, consulting, digital, technology, and operations. Headquartered in Dublin, Ireland, Accenture operates in more than 120 countries and serves clients in various industries, including finance, healthcare, technology, and consumer goods. The company focuses on delivering innovative solutions and digital transformation services to help businesses improve efficiency, enhance performance, and drive growth. Accenture is known for its extensive use of technology and data analytics to solve complex business challenges and maintain a competitive edge in a rapidly changing market.

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