AI Engineer

**Key responsibilities include:** ·Lead the end-to-end lifecycle of AI projects—from 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.