AI Engineer (Generative AI & Cloud Platforms)

Company Description NeuralCraft Pixelgenius Pvt Ltd is a technology services company specializing in Data Engineering, Big Data platforms, and Generative AI solutions for enterprise clients in the United States. We design, build, and scale modern data platforms, ETL pipelines, and AI-powered applications using cloud-native and big data technologies. Our teams have delivered production-grade, scalable, and secure solutions across industries including Aerospace, Manufacturing, Healthcare, and Financial Services. We are looking for an experienced AI Engineer to join our team of experts in Generative AI & Cloud Platforms. As an AI Engineer at NeuralCraft Pixelgenius Pvt Ltd, you will be responsible for designing, developing, and deploying innovative AI-powered applications using cloud-based platforms such as AWS, Google Cloud, or Azure. You will work closely with cross-functional teams including Data Engineers, Data Scientists, and Software Developers to deliver high-quality solutions that meet the needs of our clients. Key Responsibilities: • Design, develop, and deploy AI-powered applications using cloud-based platforms such as AWS, Google Cloud, or Azure. • Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Software Developers to deliver high-quality solutions that meet the needs of our clients. • Develop and maintain a deep understanding of Generative AI technologies and their applications in various industries. • Stay up-to-date with the latest advancements in cloud computing, big data platforms, and AI-powered applications. • Participate in code reviews and contribute to the development of reusable code components. • Work closely with the Data Engineering team to design and develop scalable data pipelines using cloud-native technologies such as AWS Glue, Google Cloud Data Fusion, or Azure Data Factory. • Develop and maintain a deep understanding of cloud-based platforms such as AWS, Google Cloud, or Azure. • Participate in technical discussions and provide input on architecture, scalability, and security considerations for AI-powered applications. • Collaborate with the Software Development team to develop and deploy AI-powered applications using cloud-native technologies such as AWS Lambda, Google Cloud Functions, or Azure Functions. • Develop and maintain a deep understanding of software development life cycles and agile methodologies. • Participate in technical discussions and provide input on architecture, scalability, and security considerations for AI-powered applications. • Collaborate with the Data Science team to develop and deploy AI-powered applications using cloud-native technologies such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning. • Develop and maintain a deep understanding of data science life cycles and machine learning algorithms. • Participate in technical discussions and provide input on architecture, scalability, and security considerations for AI-powered applications. Benefits: • Opportunity to work with cutting-edge technologies such as Generative AI, cloud computing, and big data platforms. • Collaborative and dynamic work environment with a team of experts in AI and Data Engineering. • Professional development opportunities through training, mentorship, and certification programs. • Competitive salary and benefits package. • Flexible working hours and remote work options.