Generative AI Annotation Operations Engineer
Sustainable TalentFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must have a minimum of 3 years of experience in Machine Learning and a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a Ph.D. being highly desirable. They should possess solid experience developing and implementing generative AI models, including deep learning techniques like GPT, VAE, and GANs, and be proficient in Python with experience in machine learning libraries such as TensorFlow, PyTorch, or Keras. Strong knowledge of data structures, algorithms, software engineering principles, cloud-based platforms (AWS, GCP, Azure), and NLP techniques (SpaCy, NLTK, Hugging Face) is required. Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly), software development methodologies (Agile, Scrum), and excellent problem-solving skills are also necessary. Strong communication skills and a proactive mindset for independent and collaborative work are essential.
The AI/ML Engineer will develop applications and systems utilizing AI tools and Cloud AI services, ensuring production-ready quality with cloud or on-prem application pipelines, and applying GenAI models. Responsibilities include implementing generative AI models, identifying business insights, collaborating with cross-functional teams to define project requirements and objectives, and conducting research on the latest advancements in generative AI, machine learning, and deep learning. The role involves optimizing existing generative AI models, ensuring data quality and accuracy, leading the design and development of prompt engineering strategies, and implementing NLP techniques to enhance GenAI model capabilities. Additionally, they will determine effective prompt generation processes, work with cloud-based platforms, demonstrate experience with deep learning algorithms and neural networks, develop technical documentation, and contribute to establishing best practices for generative AI development within the organization.
Global professional services for digital transformation
Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.