Ai/ml Data Engineer

Ai/ml Data EngineerPlano, TX onsite Duration: 6+ months Mode of interview: 2 videosRoles & ResponsibilitiesDesign & Implementation Develop and implement scalable Al agent architectures aligned with business requirements, leveraging foundational models. Bedrock Model Expertise Fine-tune and deploy Amazon Bedrock models (e.g., Large Language Models and multimodal models) for specific use cases. Implement solutions involving vector-based retrieval and Retrieval-Augmented Generation (RAG). Optimization Improve model performance while ensuring optimal balance between computational efficiency and cost. System Reliability Ensure deployed Al systems are robust, accurate, scalable, and maintainable over time. Innovation Stay current with advancements in AI/ML technologies and continuously enhance existing solutions. Collaboration Work closely with data scientists, software engineers, product managers, and stakeholders to translate Al research into production-ready systems. Data & Infrastructure Manage large datasets and model lifecycle tools (e.g., MLflow). Implement containerization solutions (e.g., Docker) to ensure reproducibility and scalability.Technical Skills Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Hands-on experience with MLOps tools (e.g., MLflow, BentoML, Kubeflow). Solid understanding of LLMs, LangChain, and vector databases. Experience working with AWS Bedrock services and APIs. Familiarity with Docker, CI/CD pipelines, and cloud infrastructure.