Job
Description
We are looking for a passionate and talented AI Engineer (Fresher) to join our team. As an AI Engineer, you will work on cutting-edge artificial intelligence and machine learning solutions, contributing to the development of AI-driven applications and models. This is a great opportunity to start your career in AI and grow within a dynamic and innovative environment. Key Responsibilities Assist in designing, developing, and deploying AI and machine learning models. Implement deep learning, computer vision, NLP, and other AI-based techniques. Collaborate with data scientists, engineers, and business teams to integrate AI solutions into products. Conduct experiments, fine-tune AI models, and evaluate model performance. Stay updated with the latest trends in AI, ML, and deep learning technologies. Participate in code reviews, documentation, and knowledge-sharing sessions. Key Differentiators Required Skills Strong knowledge of Python and familiarity with AI/ML libraries like TensorFlow, PyTorch, OpenCV, and Scikit-learn. Strong knowledge of Python and familiarity with AI/ML libraries like TensorFlow, PyTorch, OpenCV, and Scikit-learn. Understanding of machine learning concepts, deep learning architectures, and neural networks. Basic knowledge of data preprocessing, feature engineering, and model evaluation. Hands-on experience with SQL and NoSQL databases. Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus. Good problem-solving skills and ability to work with unstructured data. Strong analytical and communication skills. Educational Qualifications Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. AI/ML certifications (preferred but not mandatory). Preferred Qualifications (Good to Have) Knowledge of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning. Experience with AI-driven projects, Kaggle competitions, or research papers. Exposure to MLOps, model deployment, and AI pipelines. Work on real-world AI applications and projects. Learn from industry experts and mentors. Opportunity to grow and transition into senior AI roles. Exposure to the latest AI technologies and research.
