Artificial Intelligence/Machine Learning Research Intern – 8-month position
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Job Description
AI/Machine Learning Research Intern working with AI experts to enhance capabilities of MARCIE platform. Collaborating on complex Content Intelligence challenges in Customer Communication Management.
Responsibilities:
- Collaborate with the AI team to enhance MARCIE’s features, addressing Content Intelligence needs within Messagepoint’s CCM platform.
- Apply Generative AI models and deep learning techniques to: Natural Language Processing (e.g., text generation, entity recognition, sentiment analysis).
- Document understanding (e.g., information extraction, classification, summarization).
- Image and object detection, semantic segmentation, and visual content analysis.
- Context-aware communication generation and optimization.
- Conduct research and experimentation to explore innovative AI solutions in CCM-specific scenarios.
- Design, implement, and evaluate machine learning models, ensuring scalability and performance.
- Leverage distributed computing frameworks such as Spark for handling large datasets efficiently.
- Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
- Document and present findings, prototypes, and results to stakeholders.
Requirements:
- Currently enrolled in a degree program (undergraduate or graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Proficient programming skills in Python and/or Java.
- Solid understanding of deep learning frameworks such as PyTorch or TensorFlow.
- Exposure to Generative AI models (e.g., GPT, Stable Diffusion, or similar architectures).
- Familiarity with distributed computing and storage frameworks such as Spark.
- Experience or knowledge of applied AI techniques for solving real-world problems.
- Strong analytical, problem-solving, and communication skills.
- Self-motivated, eager to learn, and able to work collaboratively in a team environment.
- Experience with natural language processing libraries such as Hugging Face Transformers, spaCy, or NLTK.
- Familiarity with computer vision frameworks like OpenCV or Detectron2.
- Knowledge of optimization techniques for scalable AI model deployment.
- Understanding of CCM platforms or content intelligence use cases.
Benefits:
- Hands-on experience working on a cutting-edge AI platform with real-world impact.
- Mentorship from industry-leading AI professionals.
- A collaborative and innovative work environment.
- Opportunities to present your work and gain visibility.
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