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

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.