AI Engineer - 12th Aug (Wednesday) - 6+ Years - Virtual Interview

Job description

**Key responsibilities include:** - Lead the end-to-end lifecycle of AI projectsfrom data acquisition to deployment and monitoring. - Design, build, and optimize complex ML/DL models, including large-scale and generative AI solutions. - Architect scalable and maintainable AI pipelines using MLOps tools and practices. - Collaborate with product managers, data scientists, and engineers to align AI solutions with business needs. - Conduct code reviews, ensure best practices, and mentor junior engineers. - Stay updated on emerging AI trends, tools, and research to drive innovation. **Qualifications and Experience:** - Bachelor’s/Master’s degree in Computer Science, AI/ML, or related - 5+ years of experience in AI/ML engineering or applied data science. - Expertise in Python and frameworks like TensorFlow, PyTorch, and Scikit-learn. - Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers). - Experience with LLMs and prompt engineering. - Proficiency in deploying AI solutions on cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI). - Experience with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes). - Strong leadership, problem-solving, and communication skills.