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Gen AI Data Engineer
VIRTUSA Philadelphia, PA2 days
Not Specified
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<p>1 to 3 years of experience in developing Generative AI models or working with big data technologies.Strong experience with generative AI models (e.g., GPT, GANs, VAEs) and deep learning frameworks like TensorFlow, PyTorch, or JAX.Full-stack development experience, including proficiency in front-end frameworks (e.g., React, Vue.js, Angular) and back-end technologies (e.g., Node.js, Python, Flask, Django).Proficiency in API design and development (RESTful APIs, GraphQL). Solid knowledge of databases (SQL, NoSQL) and experience with cloud platforms (AWS, GCP, Azure).Solid experience in data analytics, including proficiency with Python, R, or SQL for analyzing datasets and generating insights.Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to communicate insights effectively.Strong experience with big data tools (e.g., Spark SQL, Hive, HBase) and data storage (e.g., NoSQL databases like Cassandra, MongoDB, or HDFS).Experience with containerization (Docker) and version control systems (Git).Strong programming skills in Python and JavaScript, as well as familiarity with JavaScript frameworks for front-end development.Ability to deploy AI models in real-world production environments and integrate them with full-stack applications.Experience working with deployment pipelines (CI/CD) and cloud-based infrastructure.Problem-solving mindset with a focus on optimizing both AI models and full-stack systems.Strong communication skills and the ability to collaborate in a cross-functional team.Preferred Skills:Experience with reinforcement learning, self-supervised learning, or multi-modal AI.Experience with DevOps tools and practices, including Docker, Kubernetes, and Terraform.Knowledge of serverless computing and cloud-native application development.Familiarity with frontend frameworks (e.g., Vue.js, Angular) and state management systems (e.g., Redux, Vuex).Exposure to multimodal AI models (combining text, images, or video).Experience with data pipelines and working with large-scale datasets. '700275</p>
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