Job Description

• Assist in designing, building, and maintaining machine learning models and algorithms under the guidance of senior engineers. 
• Support data collection, cleaning, preprocessing, and analysis from various data sources for model training purposes. 
• Assist in training, validating, and evaluating machine learning models to improve model performance and accuracy. 
• Support the deployment and integration of machine learning models into existing systems and applications. 
• Monitor model performance and assist in troubleshooting or improving models when necessary. 
• Work closely with cross-functional teams including software engineers, data analysts, and product teams to understand business requirements and deliver solutions. 
• Participate in research and learning activities related to machine learning, artificial intelligence, and emerging technologies. 
• Assist in documentation, testing, debugging, and optimization of AI/ML related systems and workflows.
  

Job Requirements

• Candidate must possess or currently pursue a Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or equivalent. 
• Basic understanding of machine learning concepts, data processing, and model training workflows. 
• Familiar with programming languages such as Python, Java, or Golang. 
• Exposure to machine learning frameworks or libraries such as TensorFlow, PyTorch, scikit-learn, JAX, or equivalent is an added advantage. 
• Basic understanding of data processing and database concepts such as SQL, Pandas, NumPy, or similar tools. 
• Strong logical thinking, analytical, and problem-solving skills. 
• Willingness to learn new technologies and adapt in a fast-paced development environment. 
• Good communication and teamwork skills. 
• Familiarity with data visualization or analysis tools such as Matplotlib, Pandas, or NumPy is a plus. 
• Basic understanding or interest in NLP, recommendation systems, computer vision, or large language models (LLMs) is an added advantage. 
• Candidates with university projects, personal AI/ML projects, GitHub portfolios, Kaggle participation, or internship experience related to machine learning or data analytics will have an added advantage. 
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus but not mandatory. 
• Internship duration: Minimum 3 to 6 months preferred. 

Skills