AI / ML Engineer

About the Role

As an AI/ML Engineer at Accenture in Hyderabad, you will develop and implement cutting-edge applications and systems powered by AI tools and cloud AI services. This role requires building production-ready cloud or on-prem application pipelines and integrating Generative AI (GenAI) models into solutions. Your responsibilities will span deep learning, neural networks, chatbots, and image processing.

Project Role Description

Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipelines with production-ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Key Responsibilities

• Implement generative AI models and identify insights to drive business decisions.
• Collaborate with multi-functional teams to understand business problems, develop hypotheses, and test them with data.
• Define AI project requirements and objectives, ensuring alignment with overall business goals.
• Conduct research to stay updated on the latest advancements in generative AI, machine learning, and deep learning techniques.
• Identify opportunities to integrate new AI techniques into products and services.
• Optimize existing generative AI models for improved performance, scalability, and efficiency.
• Ensure data quality and accuracy.
• Lead the design and development of prompt engineering strategies to optimize GenAI model performance.
• Implement cutting-edge NLP techniques and prompt engineering methodologies.
• Determine effective prompt generation processes and approaches to drive innovation in AI technology.
• Collaborate with AI researchers and developers.
• Experience working with cloud-based platforms (e.g., AWS, Azure, or related).
• Strong problem-solving and analytical skills.
• Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI.
• Prior statistical modeling experience.
• Demonstrable experience with deep learning algorithms and neural networks.
• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
• Contribute to establishing best practices and standards for generative AI development within the organization.

Professional & Technical Skills

• Solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as 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, such as AWS, GCP, or Azure.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
• Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Knowledge of software development methodologies, such as Agile or Scrum.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

Additional Information

• A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. A Ph.D. is highly desirable.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Minimum Experience Required

7.5 years of experience is required.

Educational Qualification

15 years of full-time education is required.