Artificial Intelligence Engineer

About the Role

We are looking for a motivated and enthusiastic AI/ML Engineer – Fresher to join our technology team. The ideal candidate should have a strong foundation in computer science and hands-on exposure to Artificial Intelligence and Machine Learning projects through academic projects, internships, hackathons, or personal initiatives. This is an excellent opportunity for a recent graduate who is passionate about AI/ML and wants to build a career by working on real-world technology solutions.

Key Responsibilities

• Work with senior engineers and the development team to design, develop, and implement AI/ML solutions.
• Assist in developing and testing machine learning models for real-world business problems.
• Perform data preprocessing, cleaning, transformation, and exploratory data analysis.
• Support model training, evaluation, optimization, and performance improvement.
• Implement AI/ML algorithms using Python and relevant libraries/frameworks.
• Participate in integrating machine learning models into applications and solutions.
• Conduct research and stay updated with emerging trends in AI, Machine Learning, and Generative AI.
• Troubleshoot technical issues and contribute to improving the quality and performance of AI/ML solutions.
• Document technical approaches, experiments, results, and project outcomes.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.

Requirements & Tech Stack

• BE/BTech in Computer Science / Information Technology / Artificial Intelligence / Data Science or a related discipline.
• Strong programming knowledge in Python.
• Good understanding of fundamental Machine Learning concepts and algorithms.
• Hands-on experience with at least one AI/ML project as part of academics, internship, hackathon, or personal learning.
• Basic understanding of:
• Supervised and Unsupervised Learning
• Classification and Regression
• Model training and evaluation
• Data preprocessing and feature engineering
• Basic statistics and probability
• Familiarity with Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, etc.
• Basic understanding of SQL and databases.
• Good analytical and problem-solving skills.
• Strong communication and teamwork skills.
• Passion for learning new technologies and solving complex problems.

Good to Have

• Exposure to Deep Learning and frameworks such as TensorFlow or PyTorch.
• Knowledge of Natural Language Processing (NLP) or Computer Vision.
• Exposure to Generative AI, Large Language Models (LLMs), or Prompt Engineering.
• Familiarity with tools such as Jupyter Notebook, Git/GitHub, or similar development tools.
• Participation in AI/ML hackathons, coding competitions, or technical projects.
• Understanding of cloud platforms such as AWS, Azure, or GCP.

Project Expectations

Candidates should be able to explain at least one AI/ML project they have worked on, including:

• Problem statement and business/use-case
• Dataset used and data preprocessing approach
• ML/AI algorithms or models used
• Tools and technologies used
• Model evaluation and results
• Challenges faced and how they were addressed
• Their individual contribution to the project

What We Look For

• Strong fundamentals and logical thinking
• Genuine interest in AI/ML
• Hands-on project experience rather than only theoretical knowledge
• Ability to learn quickly and adapt to new technologies
• Problem-solving and analytical mindset
• Good communication and collaboration skills

Why Join Us?

• Opportunity to work on real-world AI/ML projects
• Exposure to modern AI and emerging technologies
• Mentorship from experienced technology professionals
• Learning and growth opportunities
• Opportunity to build a strong career in AI/ML