Job description

AI/Data Devops architectWashington, DC 6 months, extensionPublic TrustLook for skills OpenShift , Python, GitLab 80% should have data side experience and 20% should have AI Experience Basic AI experience will work with Heavy data experience.Strong coding skills and development experience.Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. 7+ years of experience in enterprise architecture, with at least 3-5 years of focused experience in AI and data-driven architecture design. Extensive experience in enterprise architecture frameworks (e.g., TOGAF, Zachman). Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP). Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes. Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data solutions. Proficiency in data modeling, data warehousing, and ETL processes. Familiarity with AI ethics and the implications of machine learning and data use in organizational contexts. Strong understanding of how AI and data solutions align with and drive business goals and objectives. Ability to address complex architectural and business challenges by designing innovative AI-driven solutions. Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Requirements