Key Responsibilities
Design, develop, test, and deploy AI and machine-learning solutions that address real-world business challenges and create intelligent, scalable, and practical technology solutions.
Build and optimize machine-learning and deep-learning models by working with relevant datasets, selecting appropriate algorithms, training models, and evaluating their performance.
Collect, clean, transform, and analyze structured and unstructured data to prepare high-quality datasets suitable for training and evaluating AI/ML models.
Research and experiment with emerging AI technologies, frameworks, and methodologies, identifying opportunities to integrate new capabilities into products and business solutions.
Integrate AI and machine-learning models into software applications and digital platforms, working closely with developers and other technical teams to ensure reliable implementation.
Monitor, evaluate, and improve model performance, focusing on accuracy, scalability, reliability, efficiency, and responsible use of AI technologies.
Collaborate with cross-functional teams including developers, designers, business analysts, and project stakeholders to understand requirements and deliver AI solutions aligned with business objectives.
Requirements
1–3 years of experience in Artificial Intelligence, Machine Learning, Data Science, or a closely related technical field, with practical experience building AI/ML solutions.
Strong programming knowledge in Python and familiarity with machine-learning libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
Strong understanding of machine-learning concepts, data processing, model training, evaluation techniques, and problem-solving, with an interest in exploring emerging AI technologies.