Intern AI/ML Engineer

Altrium is a technology consulting firm specializing in scalable architectures and integrations. We are headquartered in USA, with our Engineering Center located in Colombo, Sri Lanka. Our leadership team consists of award-winning consultants with a track record in helping global organizations to find the right technology alignment in domains such as enterprise monetization, digital commerce, aviation and enterprise integration.

Job Description

This internship provides an exciting opportunity to gain hands-on experience in the field of artificial intelligence and machine learning while working alongside experienced professionals in a dynamic environment.

Responsibilities:

• Assist in the development, implementation, and deployment of AI/ML models and algorithms
  
• Participate in the full machine learning lifecycle, including data collection, preprocessing, feature engineering, model training, and evaluation
  
• Collaborate with data scientists, software engineers, and domain experts to understand business problems and develop effective AI/ML solutions
  
• Explore and experiment with various machine learning techniques, such as supervised learning, unsupervised learning, deep learning, and reinforcement learning
  
• Contribute to the development of data pipelines, ETL processes, and data visualization tools
  
• Assist in the optimization and scaling of AI/ML models for performance and efficiency
  

Qualifications:

• Pursuing a Bachelor's degree in Artificial Intelligence, Data Science, Statistics, or a related field
  
• Strong foundation in mathematics, including linear algebra, calculus, and statistics
  
• Proficiency in programming languages such as Python or Java
  
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, Keras, scikit-learn, PyTorch)
  
• Understanding of data structures, algorithms, and software engineering principles
  
• Excellent problem-solving and analytical skills
  
• Good communication and collaboration abilities
  
• Ability to work independently and as part of a team
  

Requirements

• Exposure to generative AI models such as GPT, Claude, or Google's Gemini
  
• Experience in prompt engineering and Retrieval-Augmented Generation
  
• Familiarity with big data technologies (e.g., Apache Spark, Hadoop)
  
• Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure)
  
• Familiarity with version control systems (e.g., Git)
  
• Understanding of data visualization techniques and tools (e.g., Matplotlib, Tableau)
  
• Participation in AI/ML competitions or personal projects

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