AI Engineer (Internship Exp)

Job Title: Jr. AI Engineer

Location: Remote

Job Type: Full-Time

Job Summary:

We are looking for a Jr. AI Engineer with a passion for Artificial Intelligence, Natural Language

Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have prior

internship experience in AI/ML, familiarity with modern AI frameworks, and a strong desire to

learn and grow in this field. You will work with the team to develop, fine-tune, and integrate

LLMs, and contribute to building intelligent and scalable AI solutions.

Key Responsibilities:

1. AI & LLM Development

● Assist in fine-tuning and customizing LLMs for specific use cases.

● Curate, preprocess, and manage datasets for training and evaluation.

● Experiment with AI model architectures and fine-tuning strategies under guidance.

● Support the integration of LLMs into web applications and APIs.

2. Data Handling & Analysis

● Perform data cleaning, transformation, and preparation for AI pipelines.

● Conduct exploratory data analysis and model evaluation.

● Work on data annotation and augmentation tasks when required.

3. AI Research Support

● Stay updated with the latest AI and NLP trends, research papers, and tools.

● Assist senior engineers in implementing state-of-the-art AI techniques.

● Contribute to internal technical documentation and knowledge sharing.

4. Testing & Optimization

● Help test AI models for accuracy, performance, and reliability.

● Identify issues in model predictions and suggest improvements.

● Support the deployment and monitoring of AI models on cloud or edge environments.

5. Collaboration & Learning

● Collaborate with developers, data scientists, and AI engineers.

● Participate in code reviews and brainstorming sessions.

● Continuously learn new AI technologies and frameworks.

Qualifications:

● Education: Bachelor’s degree in Computer Science, Data Science, AI, or related field

(or equivalent experience).

● Experience: Internship experience in AI/ML, NLP, or data science projects is

mandatory.

● Skills:

○ Basic understanding of machine learning algorithms and NLP concepts.

○ Familiarity with Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging

Face Transformers).

○ Knowledge of data preprocessing and dataset management.

○ Experience with REST APIs and version control (Git) is a plus.

○ Strong problem-solving and analytical skills.

What We Offer:

● Competitive salary and growth opportunities.

● Hands-on exposure to LLMs and cutting-edge AI technologies.

● Collaborative and learning-focused environment.

• ● Guidance from senior AI engineers to build your career.