Specialises in analyzing and interpreting complex data to help companies make informed decisions. They often build machine learning models for predictive analytics.

Skills: Statistics, Python/R, machine learning, data visualization, SQL, cloud computing.

Conducts cutting-edge research in AI and develops new algorithms and models. They often work in academic or advanced industry settings.

Skills: Deep learning, reinforcement learning, mathematics, Python, research methodologies.

Manages AI products from concept to launch. They work at the intersection of technology, business, and user experience.

Skills: Product management, AI/ML concepts, project management, communication, business acumen

Focuses on the collection, storage, and processing of data. They ensure that data pipelines are efficient and reliable for machine learning models.

Skills: SQL, Python, ETL processes, big data technologies (e.g., Hadoop, Spark), cloud computing.

Description: Develops models and systems that allow computers to understand and generate human language.

Skills Needed: NLP libraries (e.g., SpaCy, NLTK), Python, deep learning, linguistic knowledge, machine learning

Specialices in crafting and optimizing prompts for AI language models to generate desired responses. This role is crucial for fine-tuning AI behavior in applications such as chatbots, content creation, and automated customer support.

Skills: Natural language understanding, creativity, understanding of AI/ML models (especially large language models), Python, data analysis, and an ability to test and iterate on prompt designs.

Develops software applications that integrate AI models. They often work on the backend systems that power AI features in products.

Skills: Software development, Python, Java, C++, APIs, cloud platforms.

Description: Ensures that AI systems are designed and deployed in an ethical and socially responsible manner. They focus on bias, fairness, transparency, and privacy.

Skills Needed: Ethics, AI/ML, legal knowledge, communication, policy analysis.

Focuses on using AI to automate and enhance IT operations, including monitoring, service desk operations, and incident management.

Skills: IT operations, machine learning, automation tools, cloud computing.

Designs the architecture of AI systems, ensuring they meet both technical and business requirements. They oversee the integration of AI solutions into existing systems.

Skills: System design, cloud computing, AI/ML frameworks, software architecture.

Description: Specializes in building models that process and analyze visual data, such as images and videos.

Skills Needed: OpenCV, TensorFlow, deep learning, image processing, Python, C++.

Provides expert advice to organizations on how to implement AI technologies to solve business problems and drive innovation.

Skills: AI/ML knowledge, business consulting, project management, communication.