Senior Artificial Intelligence Engineer

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior AI Engineer, you will be responsible for designing, building, and deploying AI/ML models for various use cases including recommendation engines, NLP, computer vision, forecasting, and predictive analytics. You will lead model experimentation, validation, and optimization efforts to ensure high performance and accuracy. Additionally, you will develop and maintain 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 to stay updated with the latest AI research and industry trends and translate them into actionable projects. Mentorship of junior engineers and contribution to AI best practices and coding standards are also expected from you. Furthermore, you will ensure ethical AI usage, data privacy, and bias mitigation in models and datasets. Qualifications Required: - 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.,

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