Artificial Intelligence Engineer

You are an AI Engineer with 1-2 years of experience responsible for designing, developing, and deploying AI-driven solutions. Your role involves working on machine learning, deep learning, and data science projects, utilizing Python programming skills and familiarity with AI frameworks. Your key responsibilities include designing, developing, and optimizing machine learning models for real-world applications. You will work with large datasets to preprocess, clean, and analyze data, and implement AI algorithms for applications in NLP, computer vision, or recommendation systems. Additionally, you will deploy and monitor AI models in production environments, optimize model performance through hyperparameter tuning and feature engineering, and collaborate with cross-functional teams to integrate AI solutions. To succeed in this role, you need 1-2 years of experience in AI, machine learning, or data science, and a degree in Computer Science, Artificial Intelligence, Data Science, or related fields. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn are essential. You should also have hands-on experience in model training, evaluation, and deployment, along with familiarity with SQL/NoSQL databases and cloud platforms like AWS, GCP, or Azure. Knowledge of MLOps, Docker, Kubernetes, and APIs is a plus, in addition to strong analytical, problem-solving, and communication skills. Preferred qualifications include experience with computer vision, NLP, or reinforcement learning, understanding of big data technologies, exposure to automated ML pipelines, and model versioning. This is a full-time position with Provident Fund benefits, and the work location is in person.,