As a Fresher AI Engineer, you will be part of a dynamic team working on AI-based projects. You will learn and contribute to building and deploying AI models, data analysis, and improving machine learning algorithms. This is an excellent opportunity for someone who is eager to grow in the AI/ML domain and kickstart their career in Artificial Intelligence.

Key Responsibilities:

• Assist in developing, testing, and deploying machine learning and AI models.
• Perform data pre-processing, cleaning, and feature engineering on large datasets.
• Help in building, training, and fine-tuning models for various AI applications.
• Conduct performance analysis and model evaluation to improve accuracy and efficiency.
• Work closely with senior engineers and data scientists to develop innovative AI solutions.
• Research and implement best practices and latest trends in AI and ML technologies.
• Participate in brainstorming sessions and contribute ideas for new AI-driven products and solutions.

Skills and Qualifications:

• Education: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Mathematics, or a related field.

• Technical Skills:
• Knowledge of programming languages such as Python, R, or Java.
• Familiarity with machine learning libraries like TensorFlow, Keras, PyTorch, Scikit-learn.
• Understanding of AI concepts such as supervised and unsupervised learning, deep learning, natural language processing (NLP), computer vision.
• Basic understanding of databases and SQL.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Soft Skills:
• Strong problem-solving abilities and analytical thinking.
• Ability to work well in a team environment and communicate effectively.
• Eagerness to learn and adapt to new technologies.
• Strong attention to detail and commitment to quality.

Preferred Qualifications:

• Internship or project experience in AI, machine learning, or data science is a plus.
• Exposure to AI tools or platforms like OpenAI, GPT, or others is beneficial.
• Basic knowledge of data visualization tools like Tableau, PowerBI, or similar is an advantage.