iLink Digital - Senior Artificial Intelligence Engineer - Machine Learning/Deep Learning

Job Description

Requirements We are seeking a Senior AI Engineer with a strong foundation in machine learning, deep learning, and large-scale data processing. The ideal candidate will lead the development and deployment of AI/ML models, drive innovation, and collaborate with cross-functional teams to create intelligent systems that solve real-world business problems. Key Responsibilities Design, build, and deploy AI/ML models for use cases such as recommendation engines, NLP, computer vision, forecasting, and predictive analytics. Lead model experimentation, validation, and optimization efforts to ensure performance and accuracy. Develop and maintain MLOps pipelines for model versioning, deployment, and monitoring. Collaborate with data scientists, data engineers, and software developers to integrate models into production systems. Stay updated with the latest AI research and industry trends and translate them into actionable projects. Mentor junior engineers and contribute to AI best practices and coding standards. Ensure ethical AI usage, data privacy, and bias mitigation in models and datasets. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. PhD is a plus. 5+ years of experience in AI/ML model development and deployment. Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, etc. Strong knowledge of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and data preprocessing techniques. Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes). Familiarity with data pipelines, SQL/NoSQL, and scalable data platforms. Solid understanding of MLOps practices, CI/CD for ML, and tools like MLflow, Kubeflow, or SageMaker. Preferred Skills Experience with LLMs and Generative AI (e.g., GPT, BERT, Stable Diffusion). Domain knowledge in [insert industry : e.g., healthcare, fintech, retail]. Knowledge of Edge AI, reinforcement learning, or real-time inference systems. Contributions to open-source projects, patents, or AI publications. (ref:hirist.tech)