Position : AI Engineer
AI Engineer is a role that combines skills in data science, and machine learning to design, build, test, and deploy artificial intelligence (AI) systems. AI engineers should work with the Data Scientist to understand the data and business problem and translate them into machine learning models by choosing appropriate algorithms, architectures, and frameworks. They are also responsible for preparing and processing large datasets to train the AI models - including data cleaning, transformation, and feature engineering to ensure the model learns effectively.

Responsibilities

• Directing the data gathering, data mining, and data processing processes in huge volume discover patterns, appropriate data models and Artificial Intelligence to discover the values of the data to meet the organization’s unique needs.
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies and Artificial Intelligence (AI).
• Utilize machine learning to build predictive or prescriptive models in order to extract insights and drive business
  decision-making. Delivery proper design to store the data and implement the AI solution.
• Evaluating model performance by using various metrics to assess the model's accuracy, identify biases, and ensure it generalizes well to unseen data.
• Collaborate with Data Scientists to understand the data and problem domain to integrate the model into applications, and ensure the AI solution aligns with business goals.
• Stay up-to-date on the latest advancements in machine learning algorithms, deep learning techniques, and AI tools and frameworks.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 3-5 years of experience in AI/ML development or similar roles in AI. 2-3 years in financial institutions is preferred.
• Proficiency in Python, TensorFlow, PyTorch, AI/ML algorithms, cloud platforms (AWS, GCP). Familiarity with NLP, computer vision.
• Strong understanding of AI/ML, experience with model deployment, and optimizing AI-driven processes. Familiar with user research and usability testing for AI integration.