We are in search of a highly motivated and talented AI/ML Intern to become a valuable member of our team. As an AI/ML Intern, you will have the chance to engage in groundbreaking artificial intelligence initiatives, acquiring practical experience in crafting and implementing AI solutions. We are looking for individuals with an interest in computer science who demonstrate a keen attention to detail.

Responsibilities:

• Collaborate on the research, design, and development of AI models and algorithms.
• Gather, preprocess, and analyze data to train and assess AI models.
• Aid in the enhancement and optimization of AI algorithms tailored to specific use cases.
• Work closely with the team to integrate AI models into existing systems or create standalone AI applications.
• Execute experiments and assess the performance of AI models using appropriate metrics.
• Assist in data annotation and labeling for training and validation purposes.
• Keep abreast of the latest advancements and trends in the AI field.
• Contribute to documenting and presenting AI models and projects.
• Partner with cross-functional teams to comprehend business requirements and translate them into AI solutions.
• Collaborate with the team to incorporate machine learning models into production systems.
• Participate in code reviews and contribute to the development and maintenance of machine learning infrastructure.
• Stay current with the latest trends and developments in machine learning and related domains.
• Effectively communicate with the team supervisor and fellow team members.

We are seeking individuals who:

• Are currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or are technical college students seeking practical training.
• Possess a strong grasp of artificial intelligence concepts and algorithms.
• Demonstrate strong proficiency in English.
• Are skilled in programming languages like Python, Java, or C++.
• Exhibit familiarity with machine learning and deep learning frameworks, such as TensorFlow, PyTorch, or Keras.
• Have basic computer literacy and IT experience.
• Possess knowledge of statistical analysis and experimental design.
• Showcase excellent problem-solving and analytical skills.
• Exhibit strong communication and teamwork abilities.
• Can learn quickly and adapt to new technologies and tools.
• Are comfortable working with large data sets.
• Can efficiently and effectively handle repetitive tasks with minimal errors.
• Possess outstanding analytical and reasoning skills.
• Are highly motivated and eager to learn.
• Have a genuine interest in artificial intelligence and machine learning.

Added Advantage attributes:

• Prior experience in AI projects or internships.
• Familiarity with natural language processing (NLP) techniques and frameworks
• Experience with computer vision algorithms and frameworks
• Understanding of cloud platforms such as AWS or Azure for AI model deployment