AI / ML Engineer Role at Accenture in Hyderabad

Accenture is seeking a talented AI / ML Engineer to join our team in Hyderabad. This role focuses on developing and deploying advanced AI and machine learning solutions, with a strong emphasis on Generative AI (GenAI).

About the Role

As an AI / ML Engineer, you will be instrumental in building applications and systems that leverage cutting-edge AI tools and cloud AI services. You will be responsible for creating production-ready application pipelines, whether deployed on the cloud or on-premises. A key aspect of this role involves applying GenAI models to solve complex business problems, including but not limited to deep learning, neural networks, chatbots, and image processing.

Responsibilities

• Implement generative AI models and extract actionable insights to drive business decisions.
• Collaborate with cross-functional teams to understand business challenges, formulate hypotheses, and validate them using data.
• Define AI project requirements and objectives, ensuring alignment with overarching business goals.
• Conduct research to stay abreast of the latest advancements in generative AI, machine learning, and deep learning, and identify integration opportunities.
• Optimize existing generative AI models for enhanced performance, scalability, and efficiency.
• Ensure high standards of data quality and accuracy.
• Design and develop prompt engineering strategies to maximize the performance and output of GenAI models.
• Implement advanced Natural Language Processing (NLP) techniques and prompt engineering methodologies.
• Determine effective prompt generation processes to foster innovation in AI technology.
• Collaborate with AI researchers and developers.
• Gain experience working with cloud platforms such as AWS, Azure, or similar.
• Demonstrate strong problem-solving and analytical capabilities.
• Handle diverse data formats and sources through Omni Channel for conversational AI applications.
• Apply prior statistical modeling experience.
• Showcase demonstrable experience with deep learning algorithms and neural networks.
• Develop clear and comprehensive documentation, including technical specifications, user guides, and presentations, to articulate complex AI concepts to various stakeholders.
• Contribute to establishing best practices and standards for generative AI development within the organization.

Technical Skills

• Solid experience in developing and implementing generative AI models, including deep learning techniques like GPT, VAE, and GANs.
• Proficiency in Python and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with cloud-based platforms and services (AWS, GCP, Azure).
• Experience with Natural Language Processing (NLP) techniques and tools (SpaCy, NLTK, Hugging Face).
• Familiarity with data visualization tools and libraries (Matplotlib, Seaborn, Plotly).
• Knowledge of software development methodologies like Agile or Scrum.
• Excellent problem-solving skills and the ability to develop innovative AI solutions.

Qualifications

• 15 years of full-time education required.
• A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is mandatory. A Ph.D. is highly desirable.
• Strong communication skills for conveying complex technical concepts to diverse audiences.
• Proactive mindset, with the ability to work independently and collaboratively in a fast-paced environment.

Experience Required: Minimum 5 years of experience is required.