ServoEdge is hiring an AI Engineer Intern. This article outlines the role’s core responsibilities—building and testing ML/DL models for NLP, speech, or computer vision; dataset preprocessing and annotation; training and fine-tuning with TensorFlow or PyTorch; and collaboration for model integration—along with the technical requirements and eligibility criteria for applicants.
Role Overview and Responsibilities
The AI Engineer Intern at ServoEdge will play a supportive, hands-on role across the model development lifecycle. Key responsibilities include:
- Assist in building and testing ML/DL models for NLP, speech, or computer vision tasks: contribute to model development, experimentation, and evaluation to help reach project goals.
- Preprocess, clean, and annotate datasets: prepare data for model training by ensuring quality, consistency, and proper labeling for downstream tasks.
- Support in training and fine-tuning models using TensorFlow, PyTorch, or similar frameworks: take part in iterative training, hyperparameter adjustments, and model refinement under guidance.
- Collaborate with AI engineers and software teams for model integration: work cross-functionally to help move models from research/testing into integrated software components.
- Stay updated with current AI research and tools: follow emerging methods and frameworks relevant to ongoing projects to support continuous improvement.
Requirements, Eligibility, and Candidate Fit
ServoEdge seeks candidates who can effectively contribute in a fast-paced environment by matching the technical requirements and demonstrating the right mindset:
- Technical foundation: good understanding of Python and ML libraries such as scikit-learn, NumPy, and pandas is expected to handle data workflows and basic modeling tasks.
- Deep learning familiarity: experience or familiarity with TensorFlow or PyTorch is required to support training and fine-tuning of DL models.
- Domain knowledge: basic knowledge of NLP, computer vision, or speech processing is a plus and aligns directly with the role’s focus areas.
- Problem-solving and learning mindset: strong analytical skills and eagerness to learn are essential to collaborate effectively and adapt to evolving project needs.
- Eligibility: final-year students or recent graduates in Computer Science, Data Science, AI/ML, or related fields are eligible to apply.
Conclusion
If you are a final-year student or recent graduate with solid Python and ML library knowledge, familiarity with TensorFlow or PyTorch, and an interest in NLP, speech, or computer vision, the ServoEdge AI Engineer Intern role offers a clear path to contribute to dataset preparation, model training, integration, and continuous learning. This position is designed for candidates eager to grow and collaborate in a fast-paced AI environment.
