Senior Artificial Intelligence Engineer

As a Senior AI Engineer, you will play a crucial role in designing, building, and deploying AI/ML models to address various use cases like recommendation engines, NLP, computer vision, forecasting, and predictive analytics. Your responsibilities will include leading model experimentation, validation, and optimization efforts to ensure performance and accuracy. Additionally, you will be responsible for developing and maintaining MLOps pipelines for model versioning, deployment, and monitoring. Collaboration with data scientists, data engineers, and software developers to integrate models into production systems is a key aspect of your role. It is essential for you to stay updated with the latest AI research and industry trends and translate them into actionable projects. Furthermore, mentoring junior engineers and contributing to AI best practices and coding standards will be part of your responsibilities. You must also ensure ethical AI usage, data privacy, and bias mitigation in models and datasets. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (PhD is a plus). You should have at least 5 years of experience in AI/ML model development and deployment. Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face is required. Strong knowledge of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and data preprocessing techniques is essential. Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) is preferred. Familiarity with data pipelines, SQL/NoSQL, and scalable data platforms is a plus. A solid understanding of MLOps practices, CI/CD for ML, and tools like MLflow, Kubeflow, or SageMaker is necessary. Preferred skills for the role include experience with LLMs and Generative AI (e.g., GPT, BERT, Stable Diffusion), domain knowledge in industries like healthcare, fintech, or retail, knowledge of Edge AI, reinforcement learning, or real-time inference systems, and contributions to open-source projects, patents, or AI publications. (Note: The additional details of the company were not provided in the job description),