Artificial Intelligence Engineer

As an AI Engineer with 1-2 years of experience, your role involves designing, developing, and deploying AI-driven solutions. You should have hands-on expertise in machine learning, deep learning, and data science, along with strong programming skills in Python and familiarity with AI frameworks. Responsibilities: - Design, develop, and optimize machine learning models for real-world applications. - Work with large datasets to preprocess, clean, and analyze data. - Implement AI algorithms for applications in NLP, computer vision, or recommendation systems. - Deploy and monitor AI models in production environments. - Optimize model performance through hyperparameter tuning and feature engineering. - Collaborate with data scientists, software engineers, and business teams to integrate AI solutions. - Stay updated with the latest AI trends, tools, and research to improve existing models. Required Skills & Qualifications: - 1-2 years of experience in AI, machine learning, or data science. - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields. - Strong proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn. - Hands-on experience in model training, evaluation, and deployment. - Experience working with SQL/NoSQL databases and cloud platforms like AWS, GCP, or Azure. - Familiarity with MLOps, Docker, Kubernetes, and APIs is a plus. - Strong analytical, problem-solving, and debugging skills. - Good communication and collaboration abilities. Preferred Qualifications: - Experience with computer vision, NLP, or reinforcement learning. - Understanding of big data technologies (Hadoop, Spark, etc.). - Exposure to automated ML pipelines and model versioning. Please note that this is a full-time position with the benefit of Provident Fund. The work location is in person with a day shift schedule.,